cv Namespace Reference

Classes
struct	Accumulator
struct	Accumulator< char >
struct	Accumulator< short >
struct	Accumulator< unsigned char >
struct	Accumulator< unsigned short >
class	AdjusterAdapter
	A feature detector parameter adjuster, this is used by the DynamicAdaptedFeatureDetector and is a wrapper for FeatureDetector that allow them to be adjusted after a detection. More...
class	Allocator
class	AutoBuffer
class	BackgroundSubtractor
class	BackgroundSubtractorMOG
class	BaseColumnFilter
class	BaseFilter
struct	BaseKeypoint
class	BaseRowFilter
class	BlockedRange
class	BOWImgDescriptorExtractor
class	BOWKMeansTrainer
class	BOWTrainer
class	BriefDescriptorExtractor
class	BruteForceMatcher
class	CalonderDescriptorExtractor
class	CascadeClassifier
class	Complex
class	CvAffinePose
class	DataDepth
class	DataDepth< _Tp * >
class	DataDepth< bool >
class	DataDepth< char >
class	DataDepth< double >
class	DataDepth< float >
class	DataDepth< int >
class	DataDepth< schar >
class	DataDepth< short >
class	DataDepth< uchar >
class	DataDepth< unsigned >
class	DataDepth< ushort >
class	DataType
class	DataType< bool >
class	DataType< char >
class	DataType< Complex< _Tp > >
class	DataType< double >
class	DataType< float >
class	DataType< int >
class	DataType< Point3_< _Tp > >
class	DataType< Point_< _Tp > >
class	DataType< Range >
class	DataType< Rect_< _Tp > >
class	DataType< Scalar_< _Tp > >
class	DataType< schar >
class	DataType< short >
class	DataType< Size_< _Tp > >
class	DataType< std::complex< _Tp > >
class	DataType< uchar >
class	DataType< ushort >
class	DataType< Vec< _Tp, cn > >
struct	DefaultRngAuto
class	DenseFeatureDetector
class	DescriptorExtractor
class	DescriptorMatcher
struct	DMatch
struct	DrawMatchesFlags
class	DynamicAdaptedFeatureDetector
	an adaptively adjusting detector that iteratively detects until the desired number of features are detected. Beware that this is not thread safe - as the adjustment of parameters breaks the const of the detection routine... /TODO Make this const correct and thread safe More...
class	Exception
class	FastAdjuster
	an adjust for the FAST detector. This will basically decrement or increment the threshhold by 1 More...
class	FastFeatureDetector
class	FeatureDetector
class	FeatureEvaluator
class	FernClassifier
class	FernDescriptorMatcher
class	FileNode
class	FileNodeIterator
class	FileStorage
class	FilterEngine
class	FlannBasedMatcher
struct	Formatted
class	Formatter
class	GenericDescriptorMatcher
class	GoodFeaturesToTrackDetector
class	GreaterEq
class	GreaterEqIdx
class	GridAdaptedFeatureDetector
struct	Hamming
struct	HammingLUT
struct	HOGDescriptor
class	KalmanFilter
class	KDTree
class	KeyPoint
struct	L1
struct	L2
class	LDetector
class	LessThan
class	LessThanIdx
class	LevMarqSparse
class	LineIterator
class	Mat
class	Mat_
class	MatAllocator
class	MatCommaInitializer_
class	MatConstIterator
class	MatConstIterator_
class	MatExpr
class	MatIterator_
class	MatOp
class	Matx
struct	Matx_AddOp
struct	Matx_DetOp
struct	Matx_DetOp< _Tp, 1 >
struct	Matx_DetOp< _Tp, 2 >
struct	Matx_DetOp< _Tp, 3 >
struct	Matx_FastInvOp
struct	Matx_FastInvOp< _Tp, 2 >
struct	Matx_FastInvOp< _Tp, 3 >
struct	Matx_FastSolveOp
struct	Matx_FastSolveOp< _Tp, 2, 1 >
struct	Matx_FastSolveOp< _Tp, 3, 1 >
struct	Matx_MatMulOp
struct	Matx_MulOp
struct	Matx_ScaleOp
struct	Matx_SubOp
struct	Matx_TOp
class	MatxCommaInitializer
class	Mesh3D
class	Moments
	raster image moments More...
class	MSER
class	MserFeatureDetector
class	NAryMatIterator
class	Octree
class	OneWayDescriptor
class	OneWayDescriptorBase
class	OneWayDescriptorMatcher
class	OneWayDescriptorObject
class	OpponentColorDescriptorExtractor
class	PatchGenerator
class	PCA
class	PlanarObjectDetector
class	Point3_
class	Point_
class	Ptr
class	PyramidAdaptedFeatureDetector
class	RandomizedTree
class	Range
class	Rect_
class	RNG
class	RotatedRect
class	RTreeClassifier
struct	RTreeNode
struct	RTTIImpl
class	Scalar_
class	SelfSimDescriptor
class	Seq
class	SeqIterator
class	SIFT
class	SiftDescriptorExtractor
class	SiftFeatureDetector
class	Size_
class	SparseMat
class	SparseMat_
class	SparseMatConstIterator
class	SparseMatConstIterator_
class	SparseMatIterator
class	SparseMatIterator_
class	SpinImageModel
class	Split
class	StarAdjuster
class	StarDetector
class	StarFeatureDetector
class	StereoBM
class	StereoSGBM
class	SURF
class	SurfAdjuster
class	SurfDescriptorExtractor
class	SurfFeatureDetector
class	SVD
class	TermCriteria
class	TickMeter
class	Vec
class	VecCommaInitializer
class	VecReaderProxy
class	VecReaderProxy< _Tp, 1 >
class	Vector
class	VectorDescriptorMatcher
class	VecWriterProxy
class	VecWriterProxy< _Tp, 1 >
class	VideoCapture
class	VideoWriter
class	WImage
class	WImageBuffer
class	WImageBufferC
class	WImageC
class	WImageView
class	WImageViewC
class	WriteStructContext
Typedefs
typedef CvANN_MLP_TrainParams	ANN_MLP_TrainParams
typedef CvBoost	Boost
typedef CvBoostParams	BoostParams
typedef CvBoostTree	BoostTree
typedef void(CV_CDECL *	ButtonCallback )(int state, void *userdata)
typedef Complex< double >	Complexd
typedef Complex< float >	Complexf
typedef std::vector< Rect >	ConcurrentRectVector
typedef void(*	ConvertData )(const void *from, void *to, int cn)
typedef void(*	ConvertScaleData )(const void *from, void *to, int cn, double alpha, double beta)
typedef CvDTree	DecisionTree
typedef CvDTreeParams	DTreeParams
typedef CvEMParams	EMParams
typedef int(CV_CDECL *	ErrorCallback )(int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata)
typedef CvForestERTree	ERTree
typedef CvERTrees	ERTrees
typedef CvERTreeTrainData	ERTreeTRainData
typedef CvEM	ExpectationMaximization
typedef FernDescriptorMatcher	FernDescriptorMatch
typedef CvForestTree	ForestTree
typedef GenericDescriptorMatcher	GenericDescriptorMatch
typedef CvGBTreesParams	GradientBoostingTreeParams
typedef CvGBTrees	GradientBoostingTrees
typedef CvKNearest	KNearest
typedef Mat_< uchar >	Mat1b
typedef Mat_< double >	Mat1d
typedef Mat_< float >	Mat1f
typedef Mat_< int >	Mat1i
typedef Mat_< short >	Mat1s
typedef Mat_< ushort >	Mat1w
typedef Mat_< Vec2b >	Mat2b
typedef Mat_< Vec2d >	Mat2d
typedef Mat_< Vec2f >	Mat2f
typedef Mat_< Vec2i >	Mat2i
typedef Mat_< Vec2s >	Mat2s
typedef Mat_< Vec2w >	Mat2w
typedef Mat_< Vec3b >	Mat3b
typedef Mat_< Vec3d >	Mat3d
typedef Mat_< Vec3f >	Mat3f
typedef Mat_< Vec3i >	Mat3i
typedef Mat_< Vec3s >	Mat3s
typedef Mat_< Vec3w >	Mat3w
typedef Mat_< Vec4b >	Mat4b
typedef Mat_< Vec4d >	Mat4d
typedef Mat_< Vec4f >	Mat4f
typedef Mat_< Vec4i >	Mat4i
typedef Mat_< Vec4s >	Mat4s
typedef Mat_< Vec4w >	Mat4w
typedef Mat	MatND
typedef Matx< double, 1, 2 >	Matx12d
typedef Matx< float, 1, 2 >	Matx12f
typedef Matx< double, 1, 3 >	Matx13d
typedef Matx< float, 1, 3 >	Matx13f
typedef Matx< double, 1, 4 >	Matx14d
typedef Matx< float, 1, 4 >	Matx14f
typedef Matx< double, 1, 6 >	Matx16d
typedef Matx< float, 1, 6 >	Matx16f
typedef Matx< double, 2, 1 >	Matx21d
typedef Matx< float, 2, 1 >	Matx21f
typedef Matx< double, 2, 2 >	Matx22d
typedef Matx< float, 2, 2 >	Matx22f
typedef Matx< double, 2, 3 >	Matx23d
typedef Matx< float, 2, 3 >	Matx23f
typedef Matx< double, 3, 1 >	Matx31d
typedef Matx< float, 3, 1 >	Matx31f
typedef Matx< double, 3, 2 >	Matx32d
typedef Matx< float, 3, 2 >	Matx32f
typedef Matx< double, 3, 3 >	Matx33d
typedef Matx< float, 3, 3 >	Matx33f
typedef Matx< double, 3, 4 >	Matx34d
typedef Matx< float, 3, 4 >	Matx34f
typedef Matx< double, 4, 1 >	Matx41d
typedef Matx< float, 4, 1 >	Matx41f
typedef Matx< double, 4, 3 >	Matx43d
typedef Matx< float, 4, 3 >	Matx43f
typedef Matx< double, 4, 4 >	Matx44d
typedef Matx< float, 4, 4 >	Matx44f
typedef Matx< double, 6, 1 >	Matx61d
typedef Matx< float, 6, 1 >	Matx61f
typedef Matx< double, 6, 6 >	Matx66d
typedef Matx< float, 6, 6 >	Matx66f
typedef Ptr< CvMemStorage >	MemStorage
typedef void(*	MouseCallback )(int event, int x, int y, int flags, void *param)
typedef CvANN_MLP	NeuralNet_MLP
typedef CvNormalBayesClassifier	NormalBayesClassifier
typedef OneWayDescriptorMatcher	OneWayDescriptorMatch
typedef void(CV_CDECL *	OpenGLCallback )(void *userdata)
typedef CvParamGrid	ParamGrid
typedef Point2i	Point
typedef Point_< double >	Point2d
typedef Point_< float >	Point2f
typedef Point_< int >	Point2i
typedef Point3_< double >	Point3d
typedef Point3_< float >	Point3f
typedef Point3_< int >	Point3i
typedef CvRTParams	RandomTreeParams
typedef CvRTrees	RandomTrees
typedef Rect_< int >	Rect
typedef Scalar_< double >	Scalar
typedef Size2i	Size
typedef Size_< float >	Size2f
typedef Size_< int >	Size2i
typedef CvStatModel	StatModel
typedef std::string	String
typedef CvSVM	SVM
typedef CvSVMKernel	SVMKernel
typedef CvSVMParams	SVMParams
typedef CvSVMSolver	SVMSolver
typedef void(CV_CDECL *	TrackbarCallback )(int pos, void *userdata)
typedef CvMLData	TrainData
typedef Vec< uchar, 2 >	Vec2b
typedef Vec< double, 2 >	Vec2d
typedef Vec< float, 2 >	Vec2f
typedef Vec< int, 2 >	Vec2i
typedef Vec< short, 2 >	Vec2s
typedef Vec< ushort, 2 >	Vec2w
typedef Vec< uchar, 3 >	Vec3b
typedef Vec< double, 3 >	Vec3d
typedef Vec< float, 3 >	Vec3f
typedef Vec< int, 3 >	Vec3i
typedef Vec< short, 3 >	Vec3s
typedef Vec< ushort, 3 >	Vec3w
typedef Vec< uchar, 4 >	Vec4b
typedef Vec< double, 4 >	Vec4d
typedef Vec< float, 4 >	Vec4f
typedef Vec< int, 4 >	Vec4i
typedef Vec< short, 4 >	Vec4s
typedef Vec< ushort, 4 >	Vec4w
typedef Vec< double, 6 >	Vec6d
typedef Vec< float, 6 >	Vec6f
typedef VectorDescriptorMatcher	VectorDescriptorMatch
typedef WImageC< short, 1 >	WImage1_16s
typedef WImageC< ushort, 1 >	WImage1_16u
typedef WImageC< uchar, 1 >	WImage1_b
typedef WImageC< float, 1 >	WImage1_f
typedef WImageC< short, 3 >	WImage3_16s
typedef WImageC< ushort, 3 >	WImage3_16u
typedef WImageC< uchar, 3 >	WImage3_b
typedef WImageC< float, 3 >	WImage3_f
typedef WImage< short >	WImage_16s
typedef WImage< ushort >	WImage_16u
typedef WImage< uchar >	WImage_b
typedef WImage< float >	WImage_f
typedef WImageBufferC< short, 1 >	WImageBuffer1_16s
typedef WImageBufferC< ushort, 1 >	WImageBuffer1_16u
typedef WImageBufferC< uchar, 1 >	WImageBuffer1_b
typedef WImageBufferC< float, 1 >	WImageBuffer1_f
typedef WImageBufferC< short, 3 >	WImageBuffer3_16s
typedef WImageBufferC< ushort, 3 >	WImageBuffer3_16u
typedef WImageBufferC< uchar, 3 >	WImageBuffer3_b
typedef WImageBufferC< float, 3 >	WImageBuffer3_f
typedef WImageBuffer< short >	WImageBuffer_16s
typedef WImageBuffer< ushort >	WImageBuffer_16u
typedef WImageBuffer< uchar >	WImageBuffer_b
typedef WImageBuffer< float >	WImageBuffer_f
typedef WImageViewC< short, 1 >	WImageView1_16s
typedef WImageViewC< ushort, 1 >	WImageView1_16u
typedef WImageViewC< uchar, 1 >	WImageView1_b
typedef WImageViewC< float, 1 >	WImageView1_f
typedef WImageViewC< short, 3 >	WImageView3_16s
typedef WImageViewC< ushort, 3 >	WImageView3_16u
typedef WImageViewC< uchar, 3 >	WImageView3_b
typedef WImageViewC< float, 3 >	WImageView3_f
typedef WImageView< short >	WImageView_16s
typedef WImageView< ushort >	WImageView_16u
typedef WImageView< uchar >	WImageView_b
typedef WImageView< float >	WImageView_f
typedef std::basic_string < wchar_t >	WString
typedef LDetector	YAPE
Enumerations
enum	{   DECOMP_LU = 0, DECOMP_SVD = 1, DECOMP_EIG = 2, DECOMP_CHOLESKY = 3,   DECOMP_QR = 4, DECOMP_NORMAL = 16 }
enum	{   NORM_INF = 1, NORM_L1 = 2, NORM_L2 = 4, NORM_TYPE_MASK = 7,   NORM_RELATIVE = 8, NORM_MINMAX = 32 }
enum	{ LMEDS = CV_LMEDS, RANSAC = CV_RANSAC }
	type of the robust estimation algorithm More...
enum	{ CALIB_CB_ADAPTIVE_THRESH = 1, CALIB_CB_NORMALIZE_IMAGE = 2, CALIB_CB_FILTER_QUADS = 4, CALIB_CB_FAST_CHECK = 8 }
enum	{   CALIB_USE_INTRINSIC_GUESS = CV_CALIB_USE_INTRINSIC_GUESS, CALIB_FIX_ASPECT_RATIO = CV_CALIB_FIX_ASPECT_RATIO, CALIB_FIX_PRINCIPAL_POINT = CV_CALIB_FIX_PRINCIPAL_POINT, CALIB_ZERO_TANGENT_DIST = CV_CALIB_ZERO_TANGENT_DIST,   CALIB_FIX_FOCAL_LENGTH = CV_CALIB_FIX_FOCAL_LENGTH, CALIB_FIX_K1 = CV_CALIB_FIX_K1, CALIB_FIX_K2 = CV_CALIB_FIX_K2, CALIB_FIX_K3 = CV_CALIB_FIX_K3,   CALIB_FIX_K4 = CV_CALIB_FIX_K4, CALIB_FIX_K5 = CV_CALIB_FIX_K5, CALIB_FIX_K6 = CV_CALIB_FIX_K6, CALIB_RATIONAL_MODEL = CV_CALIB_RATIONAL_MODEL,   CALIB_FIX_INTRINSIC = CV_CALIB_FIX_INTRINSIC, CALIB_SAME_FOCAL_LENGTH = CV_CALIB_SAME_FOCAL_LENGTH, CALIB_ZERO_DISPARITY = CV_CALIB_ZERO_DISPARITY }
enum	{ FM_7POINT = CV_FM_7POINT, FM_8POINT = CV_FM_8POINT, FM_LMEDS = CV_FM_LMEDS, FM_RANSAC = CV_FM_RANSAC }
	the algorithm for finding fundamental matrix More...
enum	{ OPTFLOW_USE_INITIAL_FLOW = 4, OPTFLOW_FARNEBACK_GAUSSIAN = 256 }
enum	{ WINDOW_AUTOSIZE = 1 }
enum	{   CMP_EQ = 0, CMP_GT = 1, CMP_GE = 2, CMP_LT = 3,   CMP_LE = 4, CMP_NE = 5 }
enum	{ GEMM_1_T = 1, GEMM_2_T = 2, GEMM_3_T = 4 }
enum	{   DFT_INVERSE = 1, DFT_SCALE = 2, DFT_ROWS = 4, DFT_COMPLEX_OUTPUT = 16,   DFT_REAL_OUTPUT = 32, DCT_INVERSE = DFT_INVERSE, DCT_ROWS = DFT_ROWS }
enum	{ MAGIC_MASK = 0xFFFF0000, TYPE_MASK = 0x00000FFF, DEPTH_MASK = 7 }
enum	{ KMEANS_RANDOM_CENTERS = 0, KMEANS_PP_CENTERS = 2, KMEANS_USE_INITIAL_LABELS = 1 }
enum	{   BORDER_REPLICATE = IPL_BORDER_REPLICATE, BORDER_CONSTANT = IPL_BORDER_CONSTANT, BORDER_REFLECT = IPL_BORDER_REFLECT, BORDER_WRAP = IPL_BORDER_WRAP,   BORDER_REFLECT_101 = IPL_BORDER_REFLECT_101, BORDER_REFLECT101 = BORDER_REFLECT_101, BORDER_TRANSPARENT = IPL_BORDER_TRANSPARENT, BORDER_DEFAULT = BORDER_REFLECT_101,   BORDER_ISOLATED = 16 }
	various border interpolation methods More...
enum	{   KERNEL_GENERAL = 0, KERNEL_SYMMETRICAL = 1, KERNEL_ASYMMETRICAL = 2, KERNEL_SMOOTH = 4,   KERNEL_INTEGER = 8 }
	type of the kernel More...
enum	{   MORPH_ERODE = CV_MOP_ERODE, MORPH_DILATE = CV_MOP_DILATE, MORPH_OPEN = CV_MOP_OPEN, MORPH_CLOSE = CV_MOP_CLOSE,   MORPH_GRADIENT = CV_MOP_GRADIENT, MORPH_TOPHAT = CV_MOP_TOPHAT, MORPH_BLACKHAT = CV_MOP_BLACKHAT }
	type of morphological operation More...
enum	{ MORPH_RECT = 0, MORPH_CROSS = 1, MORPH_ELLIPSE = 2 }
	shape of the structuring element More...
enum	{   INTER_NEAREST = CV_INTER_NN, INTER_LINEAR = CV_INTER_LINEAR, INTER_CUBIC = CV_INTER_CUBIC, INTER_AREA = CV_INTER_AREA,   INTER_LANCZOS4 = CV_INTER_LANCZOS4, INTER_MAX = 7, WARP_INVERSE_MAP = CV_WARP_INVERSE_MAP }
	interpolation algorithm More...
enum	{ INTER_BITS = 5, INTER_BITS2 = INTER_BITS*2, INTER_TAB_SIZE = (1<<INTER_BITS), INTER_TAB_SIZE2 = INTER_TAB_SIZE*INTER_TAB_SIZE }
enum	{   THRESH_BINARY = CV_THRESH_BINARY, THRESH_BINARY_INV = CV_THRESH_BINARY_INV, THRESH_TRUNC = CV_THRESH_TRUNC, THRESH_TOZERO = CV_THRESH_TOZERO,   THRESH_TOZERO_INV = CV_THRESH_TOZERO_INV, THRESH_MASK = CV_THRESH_MASK, THRESH_OTSU = CV_THRESH_OTSU }
	type of the threshold operation More...
enum	{ ADAPTIVE_THRESH_MEAN_C = 0, ADAPTIVE_THRESH_GAUSSIAN_C = 1 }
	adaptive threshold algorithm More...
enum	{ PROJ_SPHERICAL_ORTHO = 0, PROJ_SPHERICAL_EQRECT = 1 }
enum	{ GC_BGD = 0, GC_FGD = 1, GC_PR_BGD = 2, GC_PR_FGD = 3 }
	class of the pixel in GrabCut algorithm More...
enum	{   FONT_HERSHEY_SIMPLEX = 0, FONT_HERSHEY_PLAIN = 1, FONT_HERSHEY_DUPLEX = 2, FONT_HERSHEY_COMPLEX = 3,   FONT_HERSHEY_TRIPLEX = 4, FONT_HERSHEY_COMPLEX_SMALL = 5, FONT_HERSHEY_SCRIPT_SIMPLEX = 6, FONT_HERSHEY_SCRIPT_COMPLEX = 7,   FONT_ITALIC = 16 }
enum	{ GC_INIT_WITH_RECT = 0, GC_INIT_WITH_MASK = 1, GC_EVAL = 2 }
	GrabCut algorithm flags. More...
enum	{ INPAINT_NS = CV_INPAINT_NS, INPAINT_TELEA = CV_INPAINT_TELEA }
	the inpainting algorithm More...
enum	{ FLOODFILL_FIXED_RANGE = 1 << 16, FLOODFILL_MASK_ONLY = 1 << 17 }
enum	{   TM_SQDIFF = 0, TM_SQDIFF_NORMED = 1, TM_CCORR = 2, TM_CCORR_NORMED = 3,   TM_CCOEFF = 4, TM_CCOEFF_NORMED = 5 }
	type of the template matching operation More...
enum	{ RETR_EXTERNAL = CV_RETR_EXTERNAL, RETR_LIST = CV_RETR_LIST, RETR_CCOMP = CV_RETR_CCOMP, RETR_TREE = CV_RETR_TREE }
	mode of the contour retrieval algorithm More...
enum	{ CHAIN_APPROX_NONE = CV_CHAIN_APPROX_NONE, CHAIN_APPROX_SIMPLE = CV_CHAIN_APPROX_SIMPLE, CHAIN_APPROX_TC89_L1 = CV_CHAIN_APPROX_TC89_L1, CHAIN_APPROX_TC89_KCOS = CV_CHAIN_APPROX_TC89_KCOS }
	the contour approximation algorithm More...
Functions
MatExpr	abs (const MatExpr &e)
MatExpr	abs (const Mat &m)
CV_EXPORTS_W void	absdiff (const Mat &src1, const Scalar &src2, CV_OUT Mat &dst)
	computes element-wise absolute difference of array and scalar (dst = abs(src1 - src2))
CV_EXPORTS_W void	absdiff (const Mat &src1, const Mat &src2, CV_OUT Mat &dst)
	computes element-wise absolute difference of two arrays (dst = abs(src1 - src2))
CV_EXPORTS_W void	accumulate (const Mat &src, CV_IN_OUT Mat &dst, const Mat &mask=Mat())
	adds image to the accumulator (dst += src). Unlike cv::add, dst and src can have different types.
CV_EXPORTS_W void	accumulateProduct (const Mat &src1, const Mat &src2, CV_IN_OUT Mat &dst, const Mat &mask=Mat())
	adds product of the 2 images to the accumulator (dst += src1*src2).
CV_EXPORTS_W void	accumulateSquare (const Mat &src, CV_IN_OUT Mat &dst, const Mat &mask=Mat())
	adds squared src image to the accumulator (dst += src*src).
CV_EXPORTS_W void	accumulateWeighted (const Mat &src, CV_IN_OUT Mat &dst, double alpha, const Mat &mask=Mat())
	updates the running average (dst = dst*(1-alpha) + src*alpha)
CV_EXPORTS_W void	adaptiveThreshold (const Mat &src, CV_OUT Mat &dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C)
	applies variable (adaptive) threshold to the image
CV_EXPORTS_W void	add (const Mat &src1, const Scalar &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	adds scalar to a matrix (dst = src1 + src2)
void	add (const Mat &src1, const Mat &src2, CV_OUT Mat &dst)
	adds one matrix to another (dst = src1 + src2)
CV_EXPORTS_W void	add (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, const Mat &mask CV_WRAP_DEFAULT(Mat()))
	adds one matrix to another (dst = src1 + src2)
void	addText (const Mat &img, const string &text, Point org, CvFont font)
CV_EXPORTS_W void	addWeighted (const Mat &src1, double alpha, const Mat &src2, double beta, double gamma, CV_OUT Mat &dst)
	computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma)
void	approxPolyDP (const Mat &curve, CV_OUT vector< Point > &approxCurve, double epsilon, bool closed)
	approximates contour or a curve using Douglas-Peucker algorithm
CV_EXPORTS_W double	arcLength (const Mat &curve, bool closed)
	computes the contour perimeter (closed=true) or a curve length
CV_EXPORTS_W void	bilateralFilter (const Mat &src, CV_OUT Mat &dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
	smooths the image using bilateral filter
CV_EXPORTS_W void	bitwise_and (const Mat &src1, const Scalar &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	computes bitwise conjunction of an array and scalar (dst = src1 & src2)
CV_EXPORTS_W void	bitwise_and (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	computes bitwise conjunction of the two arrays (dst = src1 & src2)
CV_EXPORTS_W void	bitwise_not (const Mat &src, CV_OUT Mat &dst)
	inverts each bit of array (dst = ~src)
CV_EXPORTS_W void	bitwise_or (const Mat &src1, const Scalar &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	computes bitwise disjunction of an array and scalar (dst = src1 | src2)
CV_EXPORTS_W void	bitwise_or (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	computes bitwise disjunction of the two arrays (dst = src1 | src2)
CV_EXPORTS_W void	bitwise_xor (const Mat &src1, const Scalar &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	computes bitwise exclusive-or of an array and scalar (dst = src1 ^ src2)
CV_EXPORTS_W void	bitwise_xor (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2)
CV_EXPORTS_W void	blur (const Mat &src, CV_OUT Mat &dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT)
	a synonym for normalized box filter
CV_EXPORTS_W int	borderInterpolate (int p, int len, int borderType)
	1D interpolation function: returns coordinate of the "donor" pixel for the specified location p.
CV_EXPORTS_W Rect	boundingRect (const Mat &points)
	computes the bounding rectangle for a contour
CV_EXPORTS_W void	boxFilter (const Mat &src, CV_OUT Mat &dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
	smooths the image using the box filter. Each pixel is processed in O(1) time
void	buildPyramid (const Mat &src, CV_OUT vector< Mat > &dst, int maxlevel)
	builds the gaussian pyramid using pyrDown() as a basic operation
void	calcBackProject (const Mat *images, int nimages, const int *channels, const SparseMat &hist, Mat &backProject, const float **ranges, double scale=1, bool uniform=true)
	computes back projection for the set of images
void	calcBackProject (const Mat *images, int nimages, const int *channels, const Mat &hist, Mat &backProject, const float **ranges, double scale=1, bool uniform=true)
	computes back projection for the set of images
CV_EXPORTS_W void	calcCovarMatrix (const Mat &samples, CV_OUT Mat &covar, CV_OUT Mat &mean, int flags, int ctype=CV_64F)
	computes covariation matrix of a set of samples
void	calcCovarMatrix (const Mat *samples, int nsamples, Mat &covar, Mat &mean, int flags, int ctype=CV_64F)
	computes covariation matrix of a set of samples
CV_EXPORTS_W double	calcGlobalOrientation (const Mat &orientation, const Mat &mask, const Mat &mhi, double timestamp, double duration)
	computes the global orientation of the selected motion history image part
void	calcHist (const Mat *images, int nimages, const int *channels, const Mat &mask, SparseMat &hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false)
	computes the joint sparse histogram for a set of images.
void	calcHist (const Mat *images, int nimages, const int *channels, const Mat &mask, Mat &hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false)
	computes the joint dense histogram for a set of images.
CV_EXPORTS_W void	calcMotionGradient (const Mat &mhi, CV_OUT Mat &mask, CV_OUT Mat &orientation, double delta1, double delta2, int apertureSize=3)
	computes the motion gradient orientation image from the motion history image
CV_EXPORTS_W void	calcOpticalFlowFarneback (const Mat &prev, const Mat &next, CV_OUT Mat &flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags)
	computes dense optical flow using Farneback algorithm
CV_EXPORTS_W void	calcOpticalFlowPyrLK (const Mat &prevImg, const Mat &nextImg, const vector< Point2f > &prevPts, CV_OUT vector< Point2f > &nextPts, CV_OUT vector< uchar > &status, CV_OUT vector< float > &err, Size winSize=Size(15, 15), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), double derivLambda=0.5, int flags=0)
	computes sparse optical flow using multi-scale Lucas-Kanade algorithm
CV_EXPORTS_W double	calibrateCamera (const vector< vector< Point3f > > &objectPoints, const vector< vector< Point2f > > &imagePoints, Size imageSize, CV_IN_OUT Mat &cameraMatrix, CV_IN_OUT Mat &distCoeffs, CV_OUT vector< Mat > &rvecs, CV_OUT vector< Mat > &tvecs, int flags=0)
	finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.
CV_EXPORTS_W void	calibrationMatrixValues (const Mat &cameraMatrix, Size imageSize, double apertureWidth, double apertureHeight, CV_OUT double &fovx, CV_OUT double &fovy, CV_OUT double &focalLength, CV_OUT Point2d &principalPoint, CV_OUT double &aspectRatio)
	computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size.
CV_EXPORTS_W RotatedRect	CamShift (const Mat &probImage, CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using CAMSHIFT algorithm
CV_EXPORTS_W void	cartToPolar (const Mat &x, const Mat &y, CV_OUT Mat &magnitude, CV_OUT Mat &angle, bool angleInDegrees=false)
	converts Cartesian coordinates to polar
int	chamerMatching (Mat &img, Mat &templ, vector< vector< Point > > &results, vector< float > &cost, double templScale=1, int maxMatches=20, double minMatchDistance=1.0, int padX=3, int padY=3, int scales=5, double minScale=0.6, double maxScale=1.6, double orientationWeight=0.5, double truncate=20)
CV_EXPORTS_W bool	checkHardwareSupport (int feature)
CV_EXPORTS_W bool	checkRange (const Mat &a, bool quiet=true, CV_OUT Point *pt=0, double minVal=-DBL_MAX, double maxVal=DBL_MAX)
	checks that each matrix element is within the specified range.
bool	Cholesky (double *A, int m, double *b, int n)
bool	Cholesky (float *A, int m, float *b, int n)
CV_EXPORTS_W void	circle (Mat &img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the circle outline or a solid circle in the image
void	clearSeq (CvSeq *seq)
CV_EXPORTS_W bool	clipLine (Rect imgRect, CV_IN_OUT Point &pt1, CV_IN_OUT Point &pt2)
	clips the line segment by the rectangle imgRect
bool	clipLine (Size imgSize, CV_IN_OUT Point &pt1, CV_IN_OUT Point &pt2)
	clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height)
CV_EXPORTS_W void	compare (const Mat &src1, double s, CV_OUT Mat &dst, int cmpop)
	compares elements of array with scalar (dst = src1 <cmpop> src2)
CV_EXPORTS_W void	compare (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, int cmpop)
	compares elements of two arrays (dst = src1 <cmpop> src2)
double	compareHist (const SparseMat &H1, const SparseMat &H2, int method)
	compares two histograms stored in sparse arrays
CV_EXPORTS_W double	compareHist (const Mat &H1, const Mat &H2, int method)
	compares two histograms stored in dense arrays
CV_EXPORTS_W void	completeSymm (Mat &mtx, bool lowerToUpper=false)
	extends the symmetrical matrix from the lower half or from the upper half
CV_EXPORTS_W void	composeRT (const Mat &rvec1, const Mat &tvec1, const Mat &rvec2, const Mat &tvec2, CV_OUT Mat &rvec3, CV_OUT Mat &tvec3)
	composes 2 [R|t] transformations together
void	computeCorrespondEpilines (const Mat &points1, int whichImage, const Mat &F, CV_OUT vector< Vec3f > &lines)
	finds coordinates of epipolar lines corresponding the specified points
void	computeRecallPrecisionCurve (const vector< vector< DMatch > > &matches1to2, const vector< vector< uchar > > &correctMatches1to2Mask, vector< Point2f > &recallPrecisionCurve)
CV_EXPORTS_W double	contourArea (const Mat &contour, bool oriented=false)
	computes the contour area
CV_EXPORTS_W void	convertMaps (const Mat &map1, const Mat &map2, CV_OUT Mat &dstmap1, CV_OUT Mat &dstmap2, int dstmap1type, bool nninterpolation=false)
	converts maps for remap from floating-point to fixed-point format or backwards
void	convertPointsHomogeneous (const Mat &src, CV_OUT vector< Point2f > &dst)
	converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z))
void	convertPointsHomogeneous (const Mat &src, CV_OUT vector< Point3f > &dst)
	converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1))
CV_EXPORTS_W void	convertScaleAbs (const Mat &src, CV_OUT Mat &dst, double alpha=1, double beta=0)
	scales array elements, computes absolute values and converts the results to 8-bit unsigned integers: dst(i)=saturate_cast<uchar>abs(src(i)*alpha+beta)
void	convexHull (const Mat &points, CV_OUT vector< Point > &hull, bool clockwise=false)
	computes convex hull for a set of 2D points.
void	convexHull (const Mat &points, CV_OUT vector< int > &hull, bool clockwise=false)
	computes convex hull for a set of 2D points.
CV_EXPORTS_W void	copyMakeBorder (const Mat &src, CV_OUT Mat &dst, int top, int bottom, int left, int right, int borderType, const Scalar &value=Scalar())
	copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode
CV_EXPORTS_W void	cornerEigenValsAndVecs (const Mat &src, CV_OUT Mat &dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT)
	computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix.
CV_EXPORTS_W void	cornerHarris (const Mat &src, CV_OUT Mat &dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT)
	computes Harris cornerness criteria at each image pixel
CV_EXPORTS_W void	cornerMinEigenVal (const Mat &src, CV_OUT Mat &dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT)
	computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria
void	cornerSubPix (const Mat &image, vector< Point2f > &corners, Size winSize, Size zeroZone, TermCriteria criteria)
	adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria
CV_EXPORTS_W int	countNonZero (const Mat &src)
	computes the number of nonzero array elements
Ptr< FilterEngine >	createBoxFilter (int srcType, int dstType, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
	returns box filter engine
int	createButton (const string &bar_name, ButtonCallback on_change, void *userdata CV_DEFAULT(NULL), int type CV_DEFAULT(CV_PUSH_BUTTON), bool initial_button_state CV_DEFAULT(0))
Ptr< FilterEngine >	createDerivFilter (int srcType, int dstType, int dx, int dy, int ksize, int borderType=BORDER_DEFAULT)
	returns filter engine for the generalized Sobel operator
Ptr< FilterEngine >	createGaussianFilter (int type, Size ksize, double sigma1, double sigma2=0, int borderType=BORDER_DEFAULT)
	returns the Gaussian filter engine
Ptr< FilterEngine >	createLinearFilter (int srcType, int dstType, const Mat &kernel, Point _anchor=Point(-1,-1), double delta=0, int _rowBorderType=BORDER_DEFAULT, int _columnBorderType=-1, const Scalar &_borderValue=Scalar())
	returns the non-separable linear filter engine
Ptr< FilterEngine >	createMorphologyFilter (int op, int type, const Mat &kernel, Point anchor=Point(-1,-1), int _rowBorderType=BORDER_CONSTANT, int _columnBorderType=-1, const Scalar &_borderValue=morphologyDefaultBorderValue())
	returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported.
void	createOpenGLCallback (const string &winname, CvOpenGLCallback callbackOpenGL, void *userdata CV_DEFAULT(0))
Ptr< FilterEngine >	createSeparableLinearFilter (int srcType, int dstType, const Mat &rowKernel, const Mat &columnKernel, Point _anchor=Point(-1,-1), double delta=0, int _rowBorderType=BORDER_DEFAULT, int _columnBorderType=-1, const Scalar &_borderValue=Scalar())
	returns the separable linear filter engine
int	createTrackbar (const string &trackbarname, const string &winname, int *value, int count, TrackbarCallback onChange CV_DEFAULT(0), void *userdata CV_DEFAULT(0))
CV_EXPORTS_W float	cubeRoot (float val)
	computes cube root of the argument
template<typename _Tp >
void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst)
template<typename _Tp >
void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst)
template<typename _Tp >
void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst)
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &dst)
	CV_EXPORTS_AS (projectPointsJ) void projectPoints(const Mat &objectPoints
	projects points from the model coordinate space to the image coordinates. Also computes derivatives of the image coordinates w.r.t the intrinsic and extrinsic camera parameters
	CV_EXPORTS_AS (composeRT_J) void composeRT(const Mat &rvec1
	composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments
	CV_EXPORTS_AS (findHomographyAndOutliers) Mat findHomography(const Mat &srcPoints
	computes the best-fit perspective transformation mapping srcPoints to dstPoints.
	CV_EXPORTS_AS (RodriguesJ) void Rodrigues(const Mat &src
	converts rotation vector to rotation matrix or vice versa using Rodrigues transformation. Also computes the Jacobian matrix
	CV_EXPORTS_AS (floodFillMask) int floodFill(Mat &image
	fills the semi-uniform image region and/or the mask starting from the specified seed point
	CV_EXPORTS_AS (integral3) void integral(const Mat &src
	computes the integral image, integral for the squared image and the tilted integral image
	CV_EXPORTS_AS (integral2) void integral(const Mat &src
	computes the integral image and integral for the squared image
	CV_EXPORTS_AS (houghCircles) void HoughCircles(const Mat &image
	finds circles in the grayscale image using 2+1 gradient Hough transform
	CV_EXPORTS_AS (houghLinesP) void HoughLinesP(Mat &image
	finds line segments in the black-n-white image using probabalistic Hough transform
	CV_EXPORTS_AS (houghLines) void HoughLines(const Mat &image
	finds lines in the black-n-white image using the standard or pyramid Hough transform
	CV_EXPORTS_AS (canny) void Canny(const Mat &image
	applies Canny edge detector and produces the edge map.
	CV_EXPORTS_AS (laplacian) void Laplacian(const Mat &src
	applies Laplacian operator to the image
	CV_EXPORTS_AS (scharr) void Scharr(const Mat &src
	applies the vertical or horizontal Scharr operator to the image
	CV_EXPORTS_AS (sobel) void Sobel(const Mat &src
	applies generalized Sobel operator to the image
	CV_EXPORTS_AS (gaussianBlur) void GaussianBlur(const Mat &src
	smooths the image using Gaussian filter.
Mat	cvarrToMat (const CvArr *arr, bool copyData=false, bool allowND=true, int coiMode=0)
	converts array (CvMat or IplImage) to cv::Mat
CV_EXPORTS_W void	cvtColor (const Mat &src, CV_OUT Mat &dst, int code, int dstCn=0)
	converts image from one color space to another
CV_EXPORTS_W void	dct (const Mat &src, CV_OUT Mat &dst, int flags=0)
	performs forward or inverse 1D or 2D Discrete Cosine Transformation
CV_EXPORTS_W void	decomposeProjectionMatrix (const Mat &projMatrix, CV_OUT Mat &cameraMatrix, CV_OUT Mat &rotMatrix, CV_OUT Mat &transVect, CV_OUT Mat &rotMatrixX, CV_OUT Mat &rotMatrixY, CV_OUT Mat &rotMatrixZ, CV_OUT Vec3d &eulerAngles)
	Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector. The rotation matrix is further decomposed.
void	decomposeProjectionMatrix (const Mat &projMatrix, Mat &cameraMatrix, Mat &rotMatrix, Mat &transVect)
	Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector.
CV_EXPORTS_W void	destroyWindow (const string &winname)
CV_EXPORTS_W double	determinant (const Mat &mtx)
	computes determinant of a square matrix
CV_EXPORTS_W void	dft (const Mat &src, CV_OUT Mat &dst, int flags=0, int nonzeroRows=0)
	performs forward or inverse 1D or 2D Discrete Fourier Transformation
CV_EXPORTS_W void	dilate (const Mat &src, CV_OUT Mat &dst, const Mat &kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
	dilates the image (applies the local maximum operator)
void	displayOverlay (const string &winname, const string &text, int delayms)
void	displayStatusBar (const string &winname, const string &text, int delayms)
CV_EXPORTS_W void	distanceTransform (const Mat &src, CV_OUT Mat &dst, int distanceType, int maskSize)
	computes the distance transform map
void	distanceTransform (const Mat &src, CV_OUT Mat &dst, Mat &labels, int distanceType, int maskSize)
	builds the discrete Voronoi diagram
CV_EXPORTS_W void	divide (double scale, const Mat &src2, CV_OUT Mat &dst)
	computes element-wise weighted reciprocal of an array (dst = scale/src2)
CV_EXPORTS_W void	divide (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, double scale=1)
	computes element-wise weighted quotient of the two arrays (dst = scale*src1/src2)
template<typename _Tp >
DataType< _Tp >::work_type	dot (const Vector< _Tp > &v1, const Vector< _Tp > &v2)
void	drawChessboardCorners (Mat &image, Size patternSize, const vector< Point2f > &corners, bool patternWasFound)
CV_EXPORTS_W void	drawChessboardCorners (Mat &image, Size patternSize, const Mat &corners, bool patternWasFound)
	draws the checkerboard pattern (found or partly found) in the image
void	drawContours (Mat &image, const vector< vector< Point > > &contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=8, const vector< Vec4i > &hierarchy=vector< Vec4i >(), int maxLevel=INT_MAX, Point offset=Point())
	draws contours in the image
void	drawKeypoints (const Mat &image, const vector< KeyPoint > &keypoints, Mat &outImg, const Scalar &color=Scalar::all(-1), int flags=DrawMatchesFlags::DEFAULT)
void	drawMatches (const Mat &img1, const vector< KeyPoint > &keypoints1, const Mat &img2, const vector< KeyPoint > &keypoints2, const vector< vector< DMatch > > &matches1to2, Mat &outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const vector< vector< char > > &matchesMask=vector< vector< char > >(), int flags=DrawMatchesFlags::DEFAULT)
void	drawMatches (const Mat &img1, const vector< KeyPoint > &keypoints1, const Mat &img2, const vector< KeyPoint > &keypoints2, const vector< DMatch > &matches1to2, Mat &outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const vector< char > &matchesMask=vector< char >(), int flags=DrawMatchesFlags::DEFAULT)
bool	eigen (const Mat &src, CV_OUT Mat &eigenvalues, CV_OUT Mat &eigenvectors, int lowindex=-1, int highindex=-1)
	finds eigenvalues and eigenvectors of a symmetric matrix
bool	eigen (const Mat &src, CV_OUT Mat &eigenvalues, int lowindex=-1, int highindex=-1)
	finds eigenvalues of a symmetric matrix
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void	eigen2cv (const Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &src, Mat &dst)
CV_EXPORTS_W void	ellipse (Mat &img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=8)
	draws a rotated ellipse in the image
CV_EXPORTS_W void	ellipse (Mat &img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws an elliptic arc, ellipse sector or a rotated ellipse in the image
CV_EXPORTS_W void	ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, CV_OUT vector< Point > &pts)
	converts elliptic arc to a polygonal curve
CV_EXPORTS_W void	equalizeHist (const Mat &src, CV_OUT Mat &dst)
	normalizes the grayscale image brightness and contrast by normalizing its histogram
CV_EXPORTS_W void	erode (const Mat &src, CV_OUT Mat &dst, const Mat &kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
	erodes the image (applies the local minimum operator)
void	error (const Exception &exc)
	Signals an error and raises the exception.
int	estimateAffine3D (const Mat &from, const Mat &to, CV_OUT Mat &dst, CV_OUT vector< uchar > &outliers, double param1=3.0, double param2=0.99)
	computes the best-fit affine transformation that maps one 3D point set to another (RANSAC algorithm is used)
CV_EXPORTS_W Mat	estimateRigidTransform (const Mat &A, const Mat &B, bool fullAffine)
	estimates the best-fit affine transformation that maps one 2D point set to another or one image to another.
void	evaluateFeatureDetector (const Mat &img1, const Mat &img2, const Mat &H1to2, vector< KeyPoint > *keypoints1, vector< KeyPoint > *keypoints2, float &repeatability, int &correspCount, const Ptr< FeatureDetector > &fdetector=Ptr< FeatureDetector >())
void	evaluateGenericDescriptorMatcher (const Mat &img1, const Mat &img2, const Mat &H1to2, vector< KeyPoint > &keypoints1, vector< KeyPoint > &keypoints2, vector< vector< DMatch > > *matches1to2, vector< vector< uchar > > *correctMatches1to2Mask, vector< Point2f > &recallPrecisionCurve, const Ptr< GenericDescriptorMatcher > &dmatch=Ptr< GenericDescriptorMatcher >())
CV_EXPORTS_W void	exp (const Mat &src, CV_OUT Mat &dst)
	computes exponent of each matrix element (dst = e**src)
void	extractImageCOI (const CvArr *arr, CV_OUT Mat &coiimg, int coi=-1)
	extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it.
void	FAST (const Mat &image, CV_OUT vector< KeyPoint > &keypoints, int threshold, bool nonmaxSupression=true)
	detects corners using FAST algorithm by E. Rosten
CV_EXPORTS_W float	fastAtan2 (float y, float x)
	computes the angle in degrees (0..360) of the vector (x,y)
void	fastFree (void *ptr)
void *	fastMalloc (size_t bufSize)
void	fillConvexPoly (Mat &img, const Point *pts, int npts, const Scalar &color, int lineType=8, int shift=0)
	draws a filled convex polygon in the image
void	fillPoly (Mat &img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=8, int shift=0, Point offset=Point())
	fills an area bounded by one or more polygons
CV_EXPORTS_W void	filter2D (const Mat &src, CV_OUT Mat &dst, int ddepth, const Mat &kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
	applies non-separable 2D linear filter to the image
CV_EXPORTS_W void	filterSpeckles (Mat &img, double newVal, int maxSpeckleSize, double maxDiff, Mat &buf)
	filters off speckles (small regions of incorrectly computed disparity)
bool	find4QuadCornerSubpix (const Mat &img, std::vector< Point2f > &corners, Size region_size)
CV_EXPORTS_W bool	findChessboardCorners (const Mat &image, Size patternSize, CV_OUT vector< Point2f > &corners, int flags=CALIB_CB_ADAPTIVE_THRESH+CALIB_CB_NORMALIZE_IMAGE)
	finds checkerboard pattern of the specified size in the image
CV_EXPORTS_W bool	findCirclesGrid (const Mat &image, Size patternSize, CV_OUT vector< Point2f > &centers, int flags=0)
	finds circles' grid pattern of the specified size in the image
void	findContours (Mat &image, CV_OUT vector< vector< Point > > &contours, int mode, int method, Point offset=Point())
	retrieves contours from black-n-white image.
void	findContours (Mat &image, CV_OUT vector< vector< Point > > &contours, vector< Vec4i > &hierarchy, int mode, int method, Point offset=Point())
	retrieves contours and the hierarchical information from black-n-white image.
CV_EXPORTS_W Mat	findFundamentalMat (const Mat &points1, const Mat &points2, int method=FM_RANSAC, double param1=3., double param2=0.99)
	finds fundamental matrix from a set of corresponding 2D points
Mat	findFundamentalMat (const Mat &points1, const Mat &points2, CV_OUT vector< uchar > &mask, int method=FM_RANSAC, double param1=3., double param2=0.99)
	finds fundamental matrix from a set of corresponding 2D points
CV_EXPORTS_W Mat	findHomography (const Mat &srcPoints, const Mat &dstPoints, int method=0, double ransacReprojThreshold=3)
	computes the best-fit perspective transformation mapping srcPoints to dstPoints.
CV_EXPORTS_W RotatedRect	fitEllipse (const Mat &points)
	fits ellipse to the set of 2D points
void	fitLine (const Mat &points, CV_OUT Vec4f &line, int distType, double param, double reps, double aeps)
	fits line to the set of 2D points using M-estimator algorithm
CV_EXPORTS_W void	flip (const Mat &src, CV_OUT Mat &dst, int flipCode)
	reverses the order of the rows, columns or both in a matrix
CV_EXPORTS_W int	floodFill (Mat &image, Point seedPoint, Scalar newVal, CV_OUT Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
	fills the semi-uniform image region starting from the specified seed point
CvFont	fontQt (const string &nameFont, int pointSize CV_DEFAULT(-1), Scalar color CV_DEFAULT(Scalar::all(0)), int weight CV_DEFAULT(CV_FONT_NORMAL), int style CV_DEFAULT(CV_STYLE_NORMAL), int spacing CV_DEFAULT(0))
string	format (const char *fmt,...)
string	fromUtf16 (const WString &str)
CV_EXPORTS_W void	gemm (const Mat &src1, const Mat &src2, double alpha, const Mat &src3, double gamma, CV_OUT Mat &dst, int flags=0)
	implements generalized matrix product algorithm GEMM from BLAS
Mat	getAffineTransform (const Point2f src[], const Point2f dst[])
	returns 2x3 affine transformation for the corresponding 3 point pairs.
Ptr< BaseColumnFilter >	getColumnSumFilter (int sumType, int dstType, int ksize, int anchor=-1, double scale=1)
	returns vertical 1D box filter
ConvertData	getConvertElem (int fromType, int toType)
	returns the function for converting pixels from one data type to another
ConvertScaleData	getConvertScaleElem (int fromType, int toType)
	returns the function for converting pixels from one data type to another with the optional scaling
int64	getCPUTickCount ()
uchar *	getData (IplImage *image)
CV_EXPORTS_W Mat	getDefaultNewCameraMatrix (const Mat &cameraMatrix, Size imgsize=Size(), bool centerPrincipalPoint=false)
	returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true)
CV_EXPORTS_W void	getDerivKernels (CV_OUT Mat &kx, CV_OUT Mat &ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F)
	initializes kernels of the generalized Sobel operator
CV_EXPORTS_W Mat	getGaussianKernel (int ksize, double sigma, int ktype=CV_64F)
	returns the Gaussian kernel with the specified parameters
int	getKernelType (const Mat &kernel, Point anchor)
	returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients.
Ptr< BaseColumnFilter >	getLinearColumnFilter (int bufType, int dstType, const Mat &kernel, int anchor, int symmetryType, double delta=0, int bits=0)
	returns the primitive column filter with the specified kernel
Ptr< BaseFilter >	getLinearFilter (int srcType, int dstType, const Mat &kernel, Point anchor=Point(-1,-1), double delta=0, int bits=0)
	returns 2D filter with the specified kernel
Ptr< BaseRowFilter >	getLinearRowFilter (int srcType, int bufType, const Mat &kernel, int anchor, int symmetryType)
	returns the primitive row filter with the specified kernel
Ptr< BaseColumnFilter >	getMorphologyColumnFilter (int op, int type, int ksize, int anchor=-1)
	returns vertical 1D morphological filter
Ptr< BaseFilter >	getMorphologyFilter (int op, int type, const Mat &kernel, Point anchor=Point(-1,-1))
	returns 2D morphological filter
Ptr< BaseRowFilter >	getMorphologyRowFilter (int op, int type, int ksize, int anchor=-1)
	returns horizontal 1D morphological filter
int	getNumThreads ()
CV_EXPORTS_W int	getOptimalDFTSize (int vecsize)
	computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently
CV_EXPORTS_W Mat	getOptimalNewCameraMatrix (const Mat &cameraMatrix, const Mat &distCoeffs, Size imageSize, double alpha, Size newImgSize=Size(), CV_OUT Rect *validPixROI=0)
	returns the optimal new camera matrix
Mat	getPerspectiveTransform (const Point2f src[], const Point2f dst[])
	returns 3x3 perspective transformation for the corresponding 4 point pairs.
float	getRecall (const vector< Point2f > &recallPrecisionCurve, float l_precision)
CV_EXPORTS_W void	getRectSubPix (const Mat &image, Size patchSize, Point2f center, CV_OUT Mat &patch, int patchType=-1)
	extracts rectangle from the image at sub-pixel location
CV_EXPORTS_W Mat	getRotationMatrix2D (Point2f center, double angle, double scale)
	returns 2x3 affine transformation matrix for the planar rotation.
Ptr< BaseRowFilter >	getRowSumFilter (int srcType, int sumType, int ksize, int anchor=-1)
	returns horizontal 1D box filter
schar *	getSeqElem (const CvSeq *seq, int index)
CV_EXPORTS_W Mat	getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1))
	returns structuring element of the specified shape and size
CV_EXPORTS_W Size	getTextSize (const string &text, int fontFace, double fontScale, int thickness, CV_OUT int *baseLine)
	returns bounding box of the text string
int	getThreadNum ()
int64	getTickCount ()
	Returns the number of ticks.
CV_EXPORTS_W double	getTickFrequency ()
CV_EXPORTS_W int	getTrackbarPos (const string &trackbarname, const string &winname)
CV_EXPORTS_W Rect	getValidDisparityROI (Rect roi1, Rect roi2, int minDisparity, int numberOfDisparities, int SADWindowSize)
	computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())
CV_EXPORTS_W double	getWindowProperty (const string &winname, int prop_id)
CV_EXPORTS_W void	goodFeaturesToTrack (const Mat &image, CV_OUT vector< Point2f > &corners, int maxCorners, double qualityLevel, double minDistance, const Mat &mask=Mat(), int blockSize=3, bool useHarrisDetector=false, double k=0.04)
	finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima
CV_EXPORTS_W void	grabCut (const Mat &img, Mat &mask, Rect rect, Mat &bgdModel, Mat &fgdModel, int iterCount, int mode=GC_EVAL)
	segments the image using GrabCut algorithm
CV_EXPORTS_W void	groupRectangles (vector< Rect > &rectList, CV_OUT vector< int > &weights, int groupThreshold, double eps=0.2)
CV_EXPORTS_W void	groupRectangles (vector< Rect > &rectList, int groupThreshold, double eps=0.2)
CV_EXPORTS_W void	hconcat (const vector< Mat > &src, CV_OUT Mat &dst)
void	hconcat (const Mat &src1, const Mat &src2, Mat &dst)
void	hconcat (const Mat *src, size_t nsrc, Mat &dst)
void	HuMoments (const Moments &moments, double hu[7])
	computes 7 Hu invariants from the moments
CV_EXPORTS_W void	idct (const Mat &src, CV_OUT Mat &dst, int flags=0)
	performs inverse 1D or 2D Discrete Cosine Transformation
CV_EXPORTS_W void	idft (const Mat &src, CV_OUT Mat &dst, int flags=0, int nonzeroRows=0)
	performs inverse 1D or 2D Discrete Fourier Transformation
CV_EXPORTS_W Mat	imdecode (const Mat &buf, int flags)
CV_EXPORTS_W bool	imencode (const string &ext, const Mat &img, CV_OUT vector< uchar > &buf, const vector< int > &params=vector< int >())
CV_EXPORTS_W Mat	imread (const string &filename, int flags=1)
CV_EXPORTS_W void	imshow (const string &winname, const Mat &mat)
CV_EXPORTS_W bool	imwrite (const string &filename, const Mat &img, const vector< int > &params=vector< int >())
CV_EXPORTS_W Mat	initCameraMatrix2D (const vector< vector< Point3f > > &objectPoints, const vector< vector< Point2f > > &imagePoints, Size imageSize, double aspectRatio=1.)
	initializes camera matrix from a few 3D points and the corresponding projections.
CV_EXPORTS_W void	initUndistortRectifyMap (const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &R, const Mat &newCameraMatrix, Size size, int m1type, CV_OUT Mat &map1, CV_OUT Mat &map2)
	initializes maps for cv::remap() to correct lens distortion and optionally rectify the image
CV_EXPORTS_W float	initWideAngleProjMap (const Mat &cameraMatrix, const Mat &distCoeffs, Size imageSize, int destImageWidth, int m1type, CV_OUT Mat &map1, CV_OUT Mat &map2, int projType=PROJ_SPHERICAL_EQRECT, double alpha=0)
	initializes maps for cv::remap() for wide-angle
CV_EXPORTS_W void	inpaint (const Mat &src, const Mat &inpaintMask, CV_OUT Mat &dst, double inpaintRange, int flags)
	restores the damaged image areas using one of the available intpainting algorithms
CV_EXPORTS_W void	inRange (const Mat &src, const Scalar &lowerb, const Scalar &upperb, CV_OUT Mat &dst)
	set mask elements for those array elements which are within the fixed bounding box (dst = lowerb <= src && src < upperb)
CV_EXPORTS_W void	inRange (const Mat &src, const Mat &lowerb, const Mat &upperb, CV_OUT Mat &dst)
	set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb)
void	insertImageCOI (const Mat &coiimg, CvArr *arr, int coi=-1)
	inserts single-channel cv::Mat into a multi-channel CvMat or IplImage
CV_EXPORTS_W void	integral (const Mat &src, CV_OUT Mat &sum, int sdepth=-1)
	computes the integral image
CV_EXPORTS_W double	invert (const Mat &src, CV_OUT Mat &dst, int flags=DECOMP_LU)
	computes inverse or pseudo-inverse matrix
CV_EXPORTS_W void	invertAffineTransform (const Mat &M, CV_OUT Mat &iM)
	computes 2x3 affine transformation matrix that is inverse to the specified 2x3 affine transformation.
CV_EXPORTS_W bool	isContourConvex (const Mat &contour)
	returns true iff the contour is convex. Does not support contours with self-intersection
CV_EXPORTS_W double	kmeans (const Mat &data, int K, CV_OUT Mat &bestLabels, TermCriteria criteria, int attempts, int flags, CV_OUT Mat *centers=0)
	clusters the input data using k-Means algorithm
CV_EXPORTS_W void	line (Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the line segment (pt1, pt2) in the image
void	loadWindowParameters (const string &windowName)
CV_EXPORTS_W void	log (const Mat &src, CV_OUT Mat &dst)
	computes natural logarithm of absolute value of each matrix element: dst = log(abs(src))
int	LU (double *A, int m, double *b, int n)
int	LU (float *A, int m, float *b, int n)
CV_EXPORTS_W void	LUT (const Mat &src, const Mat &lut, CV_OUT Mat &dst)
	transforms 8-bit unsigned integers using lookup table: dst(i)=lut(src(i))
CV_EXPORTS_W void	magnitude (const Mat &x, const Mat &y, CV_OUT Mat &magnitude)
	computes magnitude (magnitude(i)) of each (x(i), y(i)) vector
CV_EXPORTS_W double	Mahalanobis (const Mat &v1, const Mat &v2, const Mat &icovar)
	computes Mahalanobis distance between two vectors: sqrt((v1-v2)'*icovar*(v1-v2)), where icovar is the inverse covariation matrix
double	Mahalonobis (const Mat &v1, const Mat &v2, const Mat &icovar)
	a synonym for Mahalanobis
CV_EXPORTS_W double	matchShapes (const Mat &contour1, const Mat &contour2, int method, double parameter)
	matches two contours using one of the available algorithms
CV_EXPORTS_W void	matchTemplate (const Mat &image, const Mat &templ, CV_OUT Mat &result, int method)
	computes the proximity map for the raster template and the image where the template is searched for
CV_EXPORTS_W void	matMulDeriv (const Mat &A, const Mat &B, CV_OUT Mat &dABdA, CV_OUT Mat &dABdB)
	computes derivatives of the matrix product w.r.t each of the multiplied matrix coefficients
MatExpr	max (double s, const Mat &a)
MatExpr	max (const Mat &a, double s)
MatExpr	max (const Mat &a, const Mat &b)
CV_EXPORTS_W void	max (const Mat &src1, double src2, CV_OUT Mat &dst)
	computes per-element maximum of array and scalar (dst = max(src1, src2))
CV_EXPORTS_W void	max (const Mat &src1, const Mat &src2, CV_OUT Mat &dst)
	computes per-element maximum of two arrays (dst = max(src1, src2))
CV_EXPORTS_W Scalar	mean (const Mat &src, const Mat &mask CV_WRAP_DEFAULT(Mat()))
	computes mean value of selected array elements
Scalar	mean (const Mat &src)
	computes mean value of array elements
CV_EXPORTS_W int	meanShift (const Mat &probImage, CV_IN_OUT Rect &window, TermCriteria criteria)
	updates the object tracking window using meanshift algorithm
CV_EXPORTS_W void	meanStdDev (const Mat &src, CV_OUT Scalar &mean, CV_OUT Scalar &stddev, const Mat &mask=Mat())
	computes mean value and standard deviation of all or selected array elements
CV_EXPORTS_W void	medianBlur (const Mat &src, CV_OUT Mat &dst, int ksize)
	smooths the image using median filter.
CV_EXPORTS_W void	merge (const vector< Mat > &mv, Mat &dst)
	makes multi-channel array out of several single-channel arrays
void	merge (const Mat *mv, size_t count, CV_OUT Mat &dst)
	makes multi-channel array out of several single-channel arrays
MatExpr	min (double s, const Mat &a)
MatExpr	min (const Mat &a, double s)
MatExpr	min (const Mat &a, const Mat &b)
CV_EXPORTS_W void	min (const Mat &src1, double src2, CV_OUT Mat &dst)
	computes per-element minimum of array and scalar (dst = min(src1, src2))
CV_EXPORTS_W void	min (const Mat &src1, const Mat &src2, CV_OUT Mat &dst)
	computes per-element minimum of two arrays (dst = min(src1, src2))
CV_EXPORTS_W RotatedRect	minAreaRect (const Mat &points)
	computes the minimal rotated rectangle for a set of points
CV_EXPORTS_W void	minEnclosingCircle (const Mat &points, Point2f &center, float &radius)
	computes the minimal enclosing circle for a set of points
void	minMaxIdx (const Mat &src, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0, const Mat &mask=Mat())
void	minMaxLoc (const SparseMat &a, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0)
	finds global minimum and maximum sparse array elements and returns their values and their locations
CV_EXPORTS_W void	minMaxLoc (const Mat &src, CV_OUT double *minVal, CV_OUT double *maxVal=0, CV_OUT Point *minLoc=0, CV_OUT Point *maxLoc=0, const Mat &mask=Mat())
	finds global minimum and maximum array elements and returns their values and their locations
void	mixChannels (const vector< Mat > &src, vector< Mat > &dst, const int *fromTo, int npairs)
void	mixChannels (const Mat *src, size_t nsrcs, Mat *dst, size_t ndsts, const int *fromTo, size_t npairs)
	copies selected channels from the input arrays to the selected channels of the output arrays
CV_EXPORTS_W Moments	moments (const Mat &array, bool binaryImage=false)
	computes moments of the rasterized shape or a vector of points
CV_EXPORTS_W void	morphologyEx (const Mat &src, CV_OUT Mat &dst, int op, const Mat &kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
	applies an advanced morphological operation to the image
CV_EXPORTS_W void	mulSpectrums (const Mat &a, const Mat &b, CV_OUT Mat &c, int flags, bool conjB=false)
	computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication
CV_EXPORTS_W void	multiply (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, double scale=1)
	computes element-wise weighted product of the two arrays (dst = scale*src1*src2)
CV_EXPORTS_W void	mulTransposed (const Mat &src, CV_OUT Mat &dst, bool aTa, const Mat &delta=Mat(), double scale=1, int rtype=-1)
	multiplies matrix by its transposition from the left or from the right
CV_EXPORTS_W void	namedWindow (const string &winname, int flags CV_DEFAULT(WINDOW_AUTOSIZE))
double	norm (const SparseMat &src, int normType)
	computes norm of a sparse matrix
CV_EXPORTS_W double	norm (const Mat &src1, const Mat &src2, int normType, const Mat &mask CV_WRAP_DEFAULT(Mat()))
	computes norm of selected part of the difference between two arrays
CV_EXPORTS_W double	norm (const Mat &src1, int normType, const Mat &mask CV_WRAP_DEFAULT(Mat()))
	computes norm of the selected array part
double	norm (const Mat &src1, const Mat &src2, int normType=NORM_L2)
	computes norm of the difference between two arrays
double	norm (const Mat &src1, int normType=NORM_L2)
	computes norm of array
void	normalize (const SparseMat &src, SparseMat &dst, double alpha, int normType)
	scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values
CV_EXPORTS_W void	normalize (const Mat &src, CV_OUT Mat &dst, double alpha=1, double beta=0, int norm_type=NORM_L2, int rtype=-1, const Mat &mask=Mat())
	scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values
template<typename _Tp >
bool	operator!= (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b)
MatExpr	operator!= (double s, const Mat &a)
MatExpr	operator!= (const Mat &a, double s)
MatExpr	operator!= (const Mat &a, const Mat &b)
MatExpr	operator& (const Scalar &s, const Mat &a)
MatExpr	operator& (const Mat &a, const Scalar &s)
MatExpr	operator& (const Mat &a, const Mat &b)
MatExpr	operator* (const MatExpr &e1, const MatExpr &e2)
MatExpr	operator* (double s, const MatExpr &e)
MatExpr	operator* (const MatExpr &e, double s)
MatExpr	operator* (const Mat &m, const MatExpr &e)
MatExpr	operator* (const MatExpr &e, const Mat &m)
MatExpr	operator* (double s, const Mat &a)
MatExpr	operator* (const Mat &a, double s)
MatExpr	operator* (const Mat &a, const Mat &b)
MatExpr	operator+ (const MatExpr &e1, const MatExpr &e2)
MatExpr	operator+ (const Scalar &s, const MatExpr &e)
MatExpr	operator+ (const MatExpr &e, const Scalar &s)
MatExpr	operator+ (const Mat &m, const MatExpr &e)
MatExpr	operator+ (const MatExpr &e, const Mat &m)
MatExpr	operator+ (const Scalar &s, const Mat &a)
MatExpr	operator+ (const Mat &a, const Scalar &s)
MatExpr	operator+ (const Mat &a, const Mat &b)
template<typename _Tp >
ptrdiff_t	operator- (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b)
ptrdiff_t	operator- (const MatConstIterator &b, const MatConstIterator &a)
MatExpr	operator- (const MatExpr &e)
MatExpr	operator- (const Mat &m)
MatExpr	operator- (const MatExpr &e1, const MatExpr &e2)
MatExpr	operator- (const Scalar &s, const MatExpr &e)
MatExpr	operator- (const MatExpr &e, const Scalar &s)
MatExpr	operator- (const Mat &m, const MatExpr &e)
MatExpr	operator- (const MatExpr &e, const Mat &m)
MatExpr	operator- (const Scalar &s, const Mat &a)
MatExpr	operator- (const Mat &a, const Scalar &s)
MatExpr	operator- (const Mat &a, const Mat &b)
MatExpr	operator/ (const MatExpr &e1, const MatExpr &e2)
MatExpr	operator/ (double s, const MatExpr &e)
MatExpr	operator/ (const MatExpr &e, double s)
MatExpr	operator/ (const Mat &m, const MatExpr &e)
MatExpr	operator/ (const MatExpr &e, const Mat &m)
MatExpr	operator/ (double s, const Mat &a)
MatExpr	operator/ (const Mat &a, double s)
MatExpr	operator/ (const Mat &a, const Mat &b)
MatExpr	operator< (double s, const Mat &a)
MatExpr	operator< (const Mat &a, double s)
MatExpr	operator< (const Mat &a, const Mat &b)
std::ostream &	operator<< (std::ostream &out, const TickMeter &tm)
template<typename _Tp >
std::ostream &	operator<< (std::ostream &out, const Point3_< _Tp > &p)
template<typename _Tp >
std::ostream &	operator<< (std::ostream &out, const Point_< _Tp > &p)
FileStorage &	operator<< (FileStorage &fs, const string &str)
MatExpr	operator<= (double s, const Mat &a)
MatExpr	operator<= (const Mat &a, double s)
MatExpr	operator<= (const Mat &a, const Mat &b)
template<typename _Tp >
bool	operator== (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b)
MatExpr	operator== (double s, const Mat &a)
MatExpr	operator== (const Mat &a, double s)
MatExpr	operator== (const Mat &a, const Mat &b)
MatExpr	operator> (double s, const Mat &a)
MatExpr	operator> (const Mat &a, double s)
MatExpr	operator> (const Mat &a, const Mat &b)
MatExpr	operator>= (double s, const Mat &a)
MatExpr	operator>= (const Mat &a, double s)
MatExpr	operator>= (const Mat &a, const Mat &b)
MatExpr	operator^ (const Scalar &s, const Mat &a)
MatExpr	operator^ (const Mat &a, const Scalar &s)
MatExpr	operator^ (const Mat &a, const Mat &b)
MatExpr	operator| (const Scalar &s, const Mat &a)
MatExpr	operator| (const Mat &a, const Scalar &s)
MatExpr	operator| (const Mat &a, const Mat &b)
MatExpr	operator~ (const Mat &m)
template<typename _Tp , class _EqPredicate >
int	partition (const vector< _Tp > &_vec, vector< int > &labels, _EqPredicate predicate=_EqPredicate())
CV_EXPORTS_W void	perspectiveTransform (const Mat &src, CV_OUT Mat &dst, const Mat &m)
	performs perspective transformation of each element of multi-channel input matrix
CV_EXPORTS_W void	phase (const Mat &x, const Mat &y, CV_OUT Mat &angle, bool angleInDegrees=false)
	computes angle (angle(i)) of each (x(i), y(i)) vector
CV_EXPORTS_W double	pointPolygonTest (const Mat &contour, Point2f pt, bool measureDist)
	checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary
CV_EXPORTS_W void	polarToCart (const Mat &magnitude, const Mat &angle, CV_OUT Mat &x, CV_OUT Mat &y, bool angleInDegrees=false)
	converts polar coordinates to Cartesian
void	polylines (Mat &img, const Point **pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws one or more polygonal curves
CV_EXPORTS_W void	pow (const Mat &src, double power, CV_OUT Mat &dst)
	raises the input matrix elements to the specified power (b = a**power)
CV_EXPORTS_W void	preCornerDetect (const Mat &src, CV_OUT Mat &dst, int ksize, int borderType=BORDER_DEFAULT)
	computes another complex cornerness criteria at each pixel
template<typename T1 , typename T2 , typename T3 , typename Op >
void	process (const Mat_< T1 > &m1, const Mat_< T2 > &m2, Mat_< T3 > &m3, Op op)
template<typename T1 , typename T2 , typename Op >
void	process (const Mat_< T1 > &m1, Mat_< T2 > &m2, Op op)
CV_EXPORTS_W void	projectPoints (const Mat &objectPoints, const Mat &rvec, const Mat &tvec, const Mat &cameraMatrix, const Mat &distCoeffs, CV_OUT vector< Point2f > &imagePoints)
	projects points from the model coordinate space to the image coordinates. Takes the intrinsic and extrinsic camera parameters into account
CV_EXPORTS_W void	putText (Mat &img, const string &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int linetype=8, bool bottomLeftOrigin=false)
	renders text string in the image
CV_EXPORTS_W void	pyrDown (const Mat &src, CV_OUT Mat &dst, const Size &dstsize=Size())
	smooths and downsamples the image
CV_EXPORTS_W void	pyrMeanShiftFiltering (const Mat &src, CV_OUT Mat &dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1))
	filters image using meanshift algorithm
CV_EXPORTS_W void	pyrUp (const Mat &src, CV_OUT Mat &dst, const Size &dstsize=Size())
	upsamples and smoothes the image
CV_EXPORTS_W void	randn (CV_OUT Mat &dst, const Scalar &mean, const Scalar &stddev)
	fills array with normally-distributed random numbers with the specified mean and the standard deviation
void	randShuffle (Mat &dst, double iterFactor=1., RNG *rng=0)
	shuffles the input array elements
CV_EXPORTS_W void	randu (CV_OUT Mat &dst, const Scalar &low, const Scalar &high)
	fills array with uniformly-distributed random numbers from the range [low, high)
void	read (const FileNode &node, CV_OUT vector< KeyPoint > &keypoints)
	reads vector of keypoints from the specified file storage node
void	read (const FileNode &node, SparseMat &mat, const SparseMat &default_mat=SparseMat())
CV_EXPORTS_W void	read (const FileNode &node, Mat &mat, const Mat &default_mat=Mat())
void	rectangle (Mat &img, Rect rec, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the rectangle outline or a solid rectangle covering rec in the image
CV_EXPORTS_W void	rectangle (Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the rectangle outline or a solid rectangle with the opposite corners pt1 and pt2 in the image
CV_EXPORTS_W float	rectify3Collinear (const Mat &cameraMatrix1, const Mat &distCoeffs1, const Mat &cameraMatrix2, const Mat &distCoeffs2, const Mat &cameraMatrix3, const Mat &distCoeffs3, const vector< vector< Point2f > > &imgpt1, const vector< vector< Point2f > > &imgpt3, Size imageSize, const Mat &R12, const Mat &T12, const Mat &R13, const Mat &T13, CV_OUT Mat &R1, CV_OUT Mat &R2, CV_OUT Mat &R3, CV_OUT Mat &P1, CV_OUT Mat &P2, CV_OUT Mat &P3, CV_OUT Mat &Q, double alpha, Size newImgSize, CV_OUT Rect *roi1, CV_OUT Rect *roi2, int flags)
	computes the rectification transformations for 3-head camera, where all the heads are on the same line.
ErrorCallback	redirectError (ErrorCallback errCallback, void *userdata=0, void **prevUserdata=0)
	Sets the new error handler and the optional user data.
CV_EXPORTS_W void	reduce (const Mat &src, CV_OUT Mat &dst, int dim, int rtype, int dtype=-1)
	transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows
CV_EXPORTS_W void	remap (const Mat &src, CV_OUT Mat &dst, const Mat &map1, const Mat &map2, int interpolation, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
	warps the image using the precomputed maps. The maps are stored in either floating-point or integer fixed-point format
Mat	repeat (const Mat &src, int ny, int nx)
CV_EXPORTS_W void	repeat (const Mat &src, int ny, int nx, CV_OUT Mat &dst)
	replicates the input matrix the specified number of times in the horizontal and/or vertical direction
CV_EXPORTS_W void	reprojectImageTo3D (const Mat &disparity, CV_OUT Mat &_3dImage, const Mat &Q, bool handleMissingValues=false)
	reprojects disparity image to 3D: (x,y,d)->(X,Y,Z) using the matrix Q returned by cv::stereoRectify
CV_EXPORTS_W void	resize (const Mat &src, CV_OUT Mat &dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
	resizes the image
CV_EXPORTS_W void	Rodrigues (const Mat &src, CV_OUT Mat &dst)
	converts rotation vector to rotation matrix or vice versa using Rodrigues transformation
CV_EXPORTS_W Vec3d	RQDecomp3x3 (const Mat &M, Mat &R, Mat &Q, CV_OUT Mat &Qx, CV_OUT Mat &Qy, CV_OUT Mat &Qz)
	Computes RQ decomposition of 3x3 matrix. Also, decomposes the output orthogonal matrix into the 3 primitive rotation matrices.
void	RQDecomp3x3 (const Mat &M, Mat &R, Mat &Q)
	Computes RQ decomposition of 3x3 matrix.
template<>
int	saturate_cast< int > (double v)
template<>
int	saturate_cast< int > (float v)
template<>
schar	saturate_cast< schar > (double v)
template<>
schar	saturate_cast< schar > (float v)
template<>
schar	saturate_cast< schar > (unsigned v)
template<>
schar	saturate_cast< schar > (short v)
template<>
schar	saturate_cast< schar > (int v)
template<>
schar	saturate_cast< schar > (ushort v)
template<>
schar	saturate_cast< schar > (uchar v)
template<>
short	saturate_cast< short > (double v)
template<>
short	saturate_cast< short > (float v)
template<>
short	saturate_cast< short > (unsigned v)
template<>
short	saturate_cast< short > (int v)
template<>
short	saturate_cast< short > (ushort v)
template<>
uchar	saturate_cast< uchar > (double v)
template<>
uchar	saturate_cast< uchar > (float v)
template<>
uchar	saturate_cast< uchar > (unsigned v)
template<>
uchar	saturate_cast< uchar > (short v)
template<>
uchar	saturate_cast< uchar > (int v)
template<>
uchar	saturate_cast< uchar > (ushort v)
template<>
uchar	saturate_cast< uchar > (schar v)
template<>
unsigned	saturate_cast< unsigned > (double v)
template<>
unsigned	saturate_cast< unsigned > (float v)
template<>
ushort	saturate_cast< ushort > (double v)
template<>
ushort	saturate_cast< ushort > (float v)
template<>
ushort	saturate_cast< ushort > (unsigned v)
template<>
ushort	saturate_cast< ushort > (int v)
template<>
ushort	saturate_cast< ushort > (short v)
template<>
ushort	saturate_cast< ushort > (schar v)
void	saveWindowParameters (const string &windowName)
void	scalarToRawData (const Scalar &s, void *buf, int type, int unroll_to=0)
CV_EXPORTS_W void	scaleAdd (const Mat &src1, double alpha, const Mat &src2, CV_OUT Mat &dst)
	adds scaled array to another one (dst = alpha*src1 + src2)
CV_EXPORTS_W void	sepFilter2D (const Mat &src, CV_OUT Mat &dst, int ddepth, const Mat &kernelX, const Mat &kernelY, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
	applies separable 2D linear filter to the image
void	seqInsertSlice (CvSeq *seq, int before_index, const CvArr *from_arr)
void	seqPop (CvSeq *seq, void *element=0)
void	seqPopFront (CvSeq *seq, void *element=0)
void	seqPopMulti (CvSeq *seq, void *elements, int count, int in_front=0)
schar *	seqPush (CvSeq *seq, const void *element=0)
schar *	seqPushFront (CvSeq *seq, const void *element=0)
void	seqRemove (CvSeq *seq, int index)
void	seqRemoveSlice (CvSeq *seq, CvSlice slice)
bool	setBreakOnError (bool flag)
	Sets/resets the break-on-error mode.
CV_EXPORTS_W void	setIdentity (Mat &mtx, const Scalar &s=Scalar(1))
	initializes scaled identity matrix
void	setMouseCallback (const string &windowName, MouseCallback onMouse, void *param=0)
	assigns callback for mouse events
void	setNumThreads (int nthreads)
CV_EXPORTS_W void	setTrackbarPos (const string &trackbarname, const string &winname, int pos)
CV_EXPORTS_W void	setUseOptimized (bool onoff)
CV_EXPORTS_W void	setWindowProperty (const string &winname, int prop_id, double prop_value)
CV_EXPORTS_W bool	solve (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, int flags=DECOMP_LU)
	solves linear system or a least-square problem
CV_EXPORTS_W int	solveCubic (const Mat &coeffs, CV_OUT Mat &roots)
	finds real roots of a cubic polynomial
CV_EXPORTS_W void	solvePnP (const Mat &objectPoints, const Mat &imagePoints, const Mat &cameraMatrix, const Mat &distCoeffs, CV_OUT Mat &rvec, CV_OUT Mat &tvec, bool useExtrinsicGuess=false)
	computes the camera pose from a few 3D points and the corresponding projections. The outliers are not handled.
CV_EXPORTS_W double	solvePoly (const Mat &coeffs, CV_OUT Mat &roots, int maxIters=300)
	finds real and complex roots of a polynomial
template<typename _Tp , class _LT >
void	sort (vector< _Tp > &vec, _LT LT=_LT())
CV_EXPORTS_W void	sort (const Mat &src, CV_OUT Mat &dst, int flags)
	sorts independently each matrix row or each matrix column
CV_EXPORTS_W void	sortIdx (const Mat &src, CV_OUT Mat &dst, int flags)
	sorts independently each matrix row or each matrix column
template<typename _Tp >
void	split (const Mat &src, vector< Mat_< _Tp > > &mv)
CV_EXPORTS_W void	split (const Mat &m, vector< Mat > &mv)
	copies each plane of a multi-channel array to a dedicated array
void	split (const Mat &src, Mat *mvbegin)
	copies each plane of a multi-channel array to a dedicated array
CV_EXPORTS_W void	sqrt (const Mat &src, CV_OUT Mat &dst)
	computes square root of each matrix element (dst = src**0.5)
int	startLoop (int(*pt2Func)(int argc, char *argv[]), int argc, char *argv[])
CV_EXPORTS_W int	startWindowThread ()
CV_EXPORTS_W double	stereoCalibrate (const vector< vector< Point3f > > &objectPoints, const vector< vector< Point2f > > &imagePoints1, const vector< vector< Point2f > > &imagePoints2, CV_IN_OUT Mat &cameraMatrix1, CV_IN_OUT Mat &distCoeffs1, CV_IN_OUT Mat &cameraMatrix2, CV_IN_OUT Mat &distCoeffs2, Size imageSize, CV_OUT Mat &R, CV_OUT Mat &T, CV_OUT Mat &E, CV_OUT Mat &F, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 1e-6), int flags=CALIB_FIX_INTRINSIC)
	finds intrinsic and extrinsic parameters of a stereo camera
CV_EXPORTS_W void	stereoRectify (const Mat &cameraMatrix1, const Mat &distCoeffs1, const Mat &cameraMatrix2, const Mat &distCoeffs2, Size imageSize, const Mat &R, const Mat &T, CV_OUT Mat &R1, CV_OUT Mat &R2, CV_OUT Mat &P1, CV_OUT Mat &P2, CV_OUT Mat &Q, double alpha, Size newImageSize=Size(), CV_OUT Rect *validPixROI1=0, CV_OUT Rect *validPixROI2=0, int flags=CALIB_ZERO_DISPARITY)
	computes the rectification transformation for a stereo camera from its intrinsic and extrinsic parameters
void	stereoRectify (const Mat &cameraMatrix1, const Mat &distCoeffs1, const Mat &cameraMatrix2, const Mat &distCoeffs2, Size imageSize, const Mat &R, const Mat &T, CV_OUT Mat &R1, CV_OUT Mat &R2, CV_OUT Mat &P1, CV_OUT Mat &P2, CV_OUT Mat &Q, int flags=CALIB_ZERO_DISPARITY)
	computes the rectification transformation for a stereo camera from its intrinsic and extrinsic parameters
CV_EXPORTS_W bool	stereoRectifyUncalibrated (const Mat &points1, const Mat &points2, const Mat &F, Size imgSize, CV_OUT Mat &H1, CV_OUT Mat &H2, double threshold=5)
	computes the rectification transformation for an uncalibrated stereo camera (zero distortion is assumed)
void	stopLoop ()
CV_EXPORTS_W void	subtract (const Scalar &src1, const Mat &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	subtracts matrix from scalar (dst = src1 - src2)
CV_EXPORTS_W void	subtract (const Mat &src1, const Scalar &src2, CV_OUT Mat &dst, const Mat &mask=Mat())
	subtracts scalar from a matrix (dst = src1 - src2)
void	subtract (const Mat &src1, const Mat &src2, CV_OUT Mat &dst)
	subtracts one matrix from another (dst = src1 - src2)
CV_EXPORTS_W void	subtract (const Mat &src1, const Mat &src2, CV_OUT Mat &dst, const Mat &mask CV_WRAP_DEFAULT(Mat()))
	subtracts one matrix from another (dst = src1 - src2)
CV_EXPORTS_W Scalar	sum (const Mat &src)
	computes sum of array elements
void	swap (Mat &a, Mat &b)
	swaps two matrices
RNG &	theRNG ()
	returns the thread-local Random number generator
CV_EXPORTS_W double	threshold (const Mat &src, CV_OUT Mat &dst, double thresh, double maxval, int type)
	applies fixed threshold to the image
WString	toUtf16 (const string &str)
CV_EXPORTS_W Scalar	trace (const Mat &mtx)
	computes trace of a matrix
CV_EXPORTS_W void	transform (const Mat &src, CV_OUT Mat &dst, const Mat &m)
	performs affine transformation of each element of multi-channel input matrix
CV_EXPORTS_W void	transpose (const Mat &src, CV_OUT Mat &dst)
	transposes the matrix
CV_EXPORTS_W void	undistort (const Mat &src, CV_OUT Mat &dst, const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &newCameraMatrix=Mat())
	corrects lens distortion for the given camera matrix and distortion coefficients
CV_EXPORTS_W void	undistortPoints (const Mat &src, CV_OUT Mat &dst, const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &R=Mat(), const Mat &P=Mat())
	returns points' coordinates after lens distortion correction
void	undistortPoints (const Mat &src, CV_OUT vector< Point2f > &dst, const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &R=Mat(), const Mat &P=Mat())
	returns points' coordinates after lens distortion correction
CV_EXPORTS_W void	updateMotionHistory (const Mat &silhouette, Mat &mhi, double timestamp, double duration)
	updates motion history image using the current silhouette
CV_EXPORTS_W bool	useOptimized ()
CV_EXPORTS_W void	validateDisparity (Mat &disparity, const Mat &cost, int minDisparity, int numberOfDisparities, int disp12MaxDisp=1)
	validates disparity using the left-right check. The matrix "cost" should be computed by the stereo correspondence algorithm
CV_EXPORTS_W void	vconcat (const vector< Mat > &src, CV_OUT Mat &dst)
void	vconcat (const Mat &src1, const Mat &src2, Mat &dst)
void	vconcat (const Mat *src, size_t nsrc, Mat &dst)
CV_EXPORTS_W int	waitKey (int delay=0)
CV_EXPORTS_W void	warpAffine (const Mat &src, CV_OUT Mat &dst, const Mat &M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
	warps the image using affine transformation
CV_EXPORTS_W void	warpPerspective (const Mat &src, CV_OUT Mat &dst, const Mat &M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
	warps the image using perspective transformation
CV_EXPORTS_W void	watershed (const Mat &image, Mat &markers)
	segments the image using watershed algorithm
Mat	windowedMatchingMask (const vector< KeyPoint > &keypoints1, const vector< KeyPoint > &keypoints2, float maxDeltaX, float maxDeltaY)
void	write (FileStorage &fs, const string &name, const vector< KeyPoint > &keypoints)
	writes vector of keypoints to the file storage
void	write (FileStorage &fs, const string &name, const SparseMat &value)
CV_EXPORTS_W void	write (FileStorage &fs, const string &name, const Mat &value)
void	write (FileStorage &fs, const string &name, const Range &r)
template<typename _Tp >
void	write (FileStorage &fs, const string &name, const Scalar_< _Tp > &s)
template<typename _Tp , int cn>
void	write (FileStorage &fs, const string &name, const Vec< _Tp, cn > &v)
template<typename _Tp >
void	write (FileStorage &fs, const string &name, const Rect_< _Tp > &r)
template<typename _Tp >
void	write (FileStorage &fs, const string &name, const Complex< _Tp > &c)
template<typename _Tp >
void	write (FileStorage &fs, const string &name, const Size_< _Tp > &sz)
template<typename _Tp >
void	write (FileStorage &fs, const string &name, const Point3_< _Tp > &pt)
template<typename _Tp >
void	write (FileStorage &fs, const string &name, const Point_< _Tp > &pt)
void	write (FileStorage &fs, const Range &r)
template<typename _Tp >
void	write (FileStorage &fs, const Scalar_< _Tp > &s)
template<typename _Tp , int cn>
void	write (FileStorage &fs, const Vec< _Tp, cn > &v)
template<typename _Tp >
void	write (FileStorage &fs, const Rect_< _Tp > &r)
template<typename _Tp >
void	write (FileStorage &fs, const Complex< _Tp > &c)
template<typename _Tp >
void	write (FileStorage &fs, const Size_< _Tp > &sz)
template<typename _Tp >
void	write (FileStorage &fs, const Point3_< _Tp > &pt)
template<typename _Tp >
void	write (FileStorage &fs, const Point_< _Tp > &pt)
template<>
void	write (FileStorage &fs, const string &value)
template<>
void	write (FileStorage &fs, const double &value)
template<>
void	write (FileStorage &fs, const float &value)
template<>
void	write (FileStorage &fs, const int &value)
template<typename _Tp >
void	write (FileStorage &fs, const _Tp &value)
CV_EXPORTS_W void	write (FileStorage &fs, const string &name, const string &value)
CV_EXPORTS_W void	write (FileStorage &fs, const string &name, double value)
CV_EXPORTS_W void	write (FileStorage &fs, const string &name, float value)
CV_EXPORTS_W void	write (FileStorage &fs, const string &name, int value)
void	writeScalar (FileStorage &fs, const string &value)
void	writeScalar (FileStorage &fs, double value)
void	writeScalar (FileStorage &fs, float value)
void	writeScalar (FileStorage &fs, int value)
Variables
CV_OUT Mat double double int	apertureSize = 3
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat double	aspectRatio = 0 )
CV_OUT Mat Size double double int	borderType = BORDER_DEFAULT )
const Mat const Mat const Mat &	cameraMatrix
CV_OUT vector< Vec3f > &	circles
CV_OUT Mat int	ddepth
CV_OUT Mat int int int int double double	delta = 0
const Mat const Mat const Mat const Mat &	distCoeffs
CV_OUT vector< Vec3f > int double	dp
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dpdc
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dpddist
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dpdf
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > CV_OUT Mat &	dpdrot
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > CV_OUT Mat CV_OUT Mat &	dpdt
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dr3dr1
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dr3dr2
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dr3dt1
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dr3dt2
CV_OUT Mat &	dst
const Mat &	dstPoints
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dt3dr1
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dt3dr2
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dt3dt1
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat CV_OUT Mat &	dt3dt2
CV_OUT Mat int int	dx
CV_OUT Mat int int int	dy
CV_OUT Mat &	edges
Mat Point Scalar CV_OUT Rect Scalar Scalar int	flags = 4 )
const Mat const Mat const Mat const Mat CV_OUT vector < Point2f > &	imagePoints
CV_OUT Mat CV_OUT Mat &	jacobian
CV_OUT Mat Size	ksize = 3
CV_OUT Mat double double int bool	L2gradient = false )
CV_OUT vector< Vec2f > &	lines
Mat Point Scalar CV_OUT Rect Scalar	loDiff = Scalar()
Mat &	mask
CV_OUT vector< Vec4i > double double int double double	maxLineGap = 0 )
CV_OUT vector< Vec3f > int double double double double int int	maxRadius = 0 )
CV_OUT vector< Vec3f > int	method = 0
CV_OUT vector< Vec3f > int double double	minDist
CV_OUT vector< Vec4i > double double int double	minLineLength = 0
CV_OUT vector< Vec3f > int double double double double int	minRadius = 0
Mat Point Scalar	newVal
CV_OUT vector< Vec3f > int double double double	param1 = 100
CV_OUT vector< Vec3f > int double double double double	param2 = 100
const Mat vector< uchar > int double	ransacReprojThreshold = 3 )
Mat Point Scalar CV_OUT Rect *	rect = 0
CV_OUT vector< Vec2f > double	rho
const Mat &	rvec
const Mat const Mat &	rvec2
const Mat const Mat const Mat CV_OUT Mat &	rvec3
CV_OUT Mat int int int int double	scale = 1
CV_OUT Mat CV_OUT Mat int	sdepth = -1 )
Mat Point	seedPoint
CV_OUT Mat Size double	sigma1
CV_OUT Mat Size double double	sigma2 = 0
CV_OUT Mat CV_OUT Mat &	sqsum
CV_OUT vector< Vec2f > double double int double	srn = 0
CV_OUT vector< Vec2f > double double int double double	stn = 0 )
CV_OUT Mat &	sum
CV_OUT vector< Vec2f > double double	theta
CV_OUT vector< Vec2f > double double int	threshold
CV_OUT Mat double	threshold1
CV_OUT Mat double double	threshold2
CV_OUT Mat CV_OUT Mat CV_OUT Mat &	tilted
const Mat const Mat &	tvec
const Mat &	tvec1
const Mat const Mat const Mat &	tvec2
const Mat const Mat const Mat CV_OUT Mat CV_OUT Mat &	tvec3
Mat Point Scalar CV_OUT Rect Scalar Scalar	upDiff = Scalar()

---

Detailed Description

Namespace where all the C++ OpenCV functionality resides

---

Typedef Documentation

typedef CvANN_MLP_TrainParams cv::ANN_MLP_TrainParams

typedef CvBoost cv::Boost

typedef CvBoostParams cv::BoostParams

typedef CvBoostTree cv::BoostTree

typedef void(CV_CDECL * cv::ButtonCallback)(int state, void *userdata)

typedef Complex<double> cv::Complexd

typedef Complex<float> cv::Complexf

typedef std::vector<Rect> cv::ConcurrentRectVector

typedef void(* cv::ConvertData)(const void *from, void *to, int cn)

typedef void(* cv::ConvertScaleData)(const void *from, void *to, int cn, double alpha, double beta)

typedef CvDTree cv::DecisionTree

typedef CvDTreeParams cv::DTreeParams

typedef CvEMParams cv::EMParams

typedef int(CV_CDECL * cv::ErrorCallback)(int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata)

typedef CvForestERTree cv::ERTree

typedef CvERTrees cv::ERTrees

typedef CvERTreeTrainData cv::ERTreeTRainData

typedef CvEM cv::ExpectationMaximization

typedef FernDescriptorMatcher cv::FernDescriptorMatch

typedef CvForestTree cv::ForestTree

typedef GenericDescriptorMatcher cv::GenericDescriptorMatch

typedef CvGBTreesParams cv::GradientBoostingTreeParams

typedef CvGBTrees cv::GradientBoostingTrees

typedef CvKNearest cv::KNearest

typedef Mat_<uchar> cv::Mat1b

typedef Mat_<double> cv::Mat1d

typedef Mat_<float> cv::Mat1f

typedef Mat_<int> cv::Mat1i

typedef Mat_<short> cv::Mat1s

typedef Mat_<ushort> cv::Mat1w

typedef Mat_<Vec2b> cv::Mat2b

typedef Mat_<Vec2d> cv::Mat2d

typedef Mat_<Vec2f> cv::Mat2f

typedef Mat_<Vec2i> cv::Mat2i

typedef Mat_<Vec2s> cv::Mat2s

typedef Mat_<Vec2w> cv::Mat2w

typedef Mat_<Vec3b> cv::Mat3b

typedef Mat_<Vec3d> cv::Mat3d

typedef Mat_<Vec3f> cv::Mat3f

typedef Mat_<Vec3i> cv::Mat3i

typedef Mat_<Vec3s> cv::Mat3s

typedef Mat_<Vec3w> cv::Mat3w

typedef Mat_<Vec4b> cv::Mat4b

typedef Mat_<Vec4d> cv::Mat4d

typedef Mat_<Vec4f> cv::Mat4f

typedef Mat_<Vec4i> cv::Mat4i

typedef Mat_<Vec4s> cv::Mat4s

typedef Mat_<Vec4w> cv::Mat4w

typedef Mat cv::MatND

typedef Matx<double, 1, 2> cv::Matx12d

typedef Matx<float, 1, 2> cv::Matx12f

typedef Matx<double, 1, 3> cv::Matx13d

typedef Matx<float, 1, 3> cv::Matx13f

typedef Matx<double, 1, 4> cv::Matx14d

typedef Matx<float, 1, 4> cv::Matx14f

typedef Matx<double, 1, 6> cv::Matx16d

typedef Matx<float, 1, 6> cv::Matx16f

typedef Matx<double, 2, 1> cv::Matx21d

typedef Matx<float, 2, 1> cv::Matx21f

typedef Matx<double, 2, 2> cv::Matx22d

typedef Matx<float, 2, 2> cv::Matx22f

typedef Matx<double, 2, 3> cv::Matx23d

typedef Matx<float, 2, 3> cv::Matx23f

typedef Matx<double, 3, 1> cv::Matx31d

typedef Matx<float, 3, 1> cv::Matx31f

typedef Matx<double, 3, 2> cv::Matx32d

typedef Matx<float, 3, 2> cv::Matx32f

typedef Matx<double, 3, 3> cv::Matx33d

typedef Matx<float, 3, 3> cv::Matx33f

typedef Matx<double, 3, 4> cv::Matx34d

typedef Matx<float, 3, 4> cv::Matx34f

typedef Matx<double, 4, 1> cv::Matx41d

typedef Matx<float, 4, 1> cv::Matx41f

typedef Matx<double, 4, 3> cv::Matx43d

typedef Matx<float, 4, 3> cv::Matx43f

typedef Matx<double, 4, 4> cv::Matx44d

typedef Matx<float, 4, 4> cv::Matx44f

typedef Matx<double, 6, 1> cv::Matx61d

typedef Matx<float, 6, 1> cv::Matx61f

typedef Matx<double, 6, 6> cv::Matx66d

typedef Matx<float, 6, 6> cv::Matx66f

typedef Ptr<CvMemStorage> cv::MemStorage

typedef void(* cv::MouseCallback)(int event, int x, int y, int flags, void *param)

typedef CvANN_MLP cv::NeuralNet_MLP

typedef CvNormalBayesClassifier cv::NormalBayesClassifier

typedef OneWayDescriptorMatcher cv::OneWayDescriptorMatch

typedef void(CV_CDECL * cv::OpenGLCallback)(void *userdata)

typedef CvParamGrid cv::ParamGrid

typedef Point2i cv::Point

typedef Point_<double> cv::Point2d

typedef Point_<float> cv::Point2f

typedef Point_<int> cv::Point2i

typedef Point3_<double> cv::Point3d

typedef Point3_<float> cv::Point3f

typedef Point3_<int> cv::Point3i

typedef CvRTParams cv::RandomTreeParams

typedef CvRTrees cv::RandomTrees

typedef Rect_<int> cv::Rect

typedef Scalar_<double> cv::Scalar

typedef Size2i cv::Size

typedef Size_<float> cv::Size2f

typedef Size_<int> cv::Size2i

typedef CvStatModel cv::StatModel

typedef std::string cv::String

typedef CvSVM cv::SVM

typedef CvSVMKernel cv::SVMKernel

typedef CvSVMParams cv::SVMParams

typedef CvSVMSolver cv::SVMSolver

typedef void(CV_CDECL * cv::TrackbarCallback)(int pos, void *userdata)

typedef CvMLData cv::TrainData

typedef Vec<uchar, 2> cv::Vec2b

typedef Vec<double, 2> cv::Vec2d

typedef Vec<float, 2> cv::Vec2f

typedef Vec<int, 2> cv::Vec2i

typedef Vec<short, 2> cv::Vec2s

typedef Vec<ushort, 2> cv::Vec2w

typedef Vec<uchar, 3> cv::Vec3b

typedef Vec<double, 3> cv::Vec3d

typedef Vec<float, 3> cv::Vec3f

typedef Vec<int, 3> cv::Vec3i

typedef Vec<short, 3> cv::Vec3s

typedef Vec<ushort, 3> cv::Vec3w

typedef Vec<uchar, 4> cv::Vec4b

typedef Vec<double, 4> cv::Vec4d

typedef Vec<float, 4> cv::Vec4f

typedef Vec<int, 4> cv::Vec4i

typedef Vec<short, 4> cv::Vec4s

typedef Vec<ushort, 4> cv::Vec4w

typedef Vec<double, 6> cv::Vec6d

typedef Vec<float, 6> cv::Vec6f

typedef VectorDescriptorMatcher cv::VectorDescriptorMatch

typedef WImageC<short, 1> cv::WImage1_16s

typedef WImageC<ushort, 1> cv::WImage1_16u

typedef WImageC<uchar, 1> cv::WImage1_b

typedef WImageC<float, 1> cv::WImage1_f

typedef WImageC<short, 3> cv::WImage3_16s

typedef WImageC<ushort, 3> cv::WImage3_16u

typedef WImageC<uchar, 3> cv::WImage3_b

typedef WImageC<float, 3> cv::WImage3_f

typedef WImage<short> cv::WImage_16s

typedef WImage<ushort> cv::WImage_16u

typedef WImage<uchar> cv::WImage_b

typedef WImage<float> cv::WImage_f

typedef WImageBufferC<short, 1> cv::WImageBuffer1_16s

typedef WImageBufferC<ushort, 1> cv::WImageBuffer1_16u

typedef WImageBufferC<uchar, 1> cv::WImageBuffer1_b

typedef WImageBufferC<float, 1> cv::WImageBuffer1_f

typedef WImageBufferC<short, 3> cv::WImageBuffer3_16s

typedef WImageBufferC<ushort, 3> cv::WImageBuffer3_16u

typedef WImageBufferC<uchar, 3> cv::WImageBuffer3_b

typedef WImageBufferC<float, 3> cv::WImageBuffer3_f

typedef WImageBuffer<short> cv::WImageBuffer_16s

typedef WImageBuffer<ushort> cv::WImageBuffer_16u

typedef WImageBuffer<uchar> cv::WImageBuffer_b

typedef WImageBuffer<float> cv::WImageBuffer_f

typedef WImageViewC<short, 1> cv::WImageView1_16s

typedef WImageViewC<ushort, 1> cv::WImageView1_16u

typedef WImageViewC<uchar, 1> cv::WImageView1_b

typedef WImageViewC<float, 1> cv::WImageView1_f

typedef WImageViewC<short, 3> cv::WImageView3_16s

typedef WImageViewC<ushort, 3> cv::WImageView3_16u

typedef WImageViewC<uchar, 3> cv::WImageView3_b

typedef WImageViewC<float, 3> cv::WImageView3_f

typedef WImageView<short> cv::WImageView_16s

typedef WImageView<ushort> cv::WImageView_16u

typedef WImageView<uchar> cv::WImageView_b

typedef WImageView<float> cv::WImageView_f

typedef std::basic_string<wchar_t> cv::WString

typedef LDetector cv::YAPE

---

Enumeration Type Documentation

anonymous enum

Enumerator:

DECOMP_LU
DECOMP_SVD
DECOMP_EIG
DECOMP_CHOLESKY
DECOMP_QR
DECOMP_NORMAL

anonymous enum

Enumerator:

NORM_INF
NORM_L1
NORM_L2
NORM_TYPE_MASK
NORM_RELATIVE
NORM_MINMAX

anonymous enum

type of the robust estimation algorithm

Enumerator:

LMEDS	least-median algorithm
RANSAC	RANSAC algorithm.

anonymous enum

Enumerator:

CALIB_CB_ADAPTIVE_THRESH
CALIB_CB_NORMALIZE_IMAGE
CALIB_CB_FILTER_QUADS
CALIB_CB_FAST_CHECK

anonymous enum

Enumerator:

CALIB_USE_INTRINSIC_GUESS
CALIB_FIX_ASPECT_RATIO
CALIB_FIX_PRINCIPAL_POINT
CALIB_ZERO_TANGENT_DIST
CALIB_FIX_FOCAL_LENGTH
CALIB_FIX_K1
CALIB_FIX_K2
CALIB_FIX_K3
CALIB_FIX_K4
CALIB_FIX_K5
CALIB_FIX_K6
CALIB_RATIONAL_MODEL
CALIB_FIX_INTRINSIC
CALIB_SAME_FOCAL_LENGTH
CALIB_ZERO_DISPARITY

anonymous enum

the algorithm for finding fundamental matrix

Enumerator:

FM_7POINT	7-point algorithm
FM_8POINT	8-point algorithm
FM_LMEDS	least-median algorithm
FM_RANSAC	RANSAC algorithm.

anonymous enum

Enumerator:

OPTFLOW_USE_INITIAL_FLOW
OPTFLOW_FARNEBACK_GAUSSIAN

anonymous enum

Enumerator:

WINDOW_AUTOSIZE

anonymous enum

Enumerator:

CMP_EQ
CMP_GT
CMP_GE
CMP_LT
CMP_LE
CMP_NE

anonymous enum

Enumerator:

GEMM_1_T
GEMM_2_T
GEMM_3_T

anonymous enum

Enumerator:

DFT_INVERSE
DFT_SCALE
DFT_ROWS
DFT_COMPLEX_OUTPUT
DFT_REAL_OUTPUT
DCT_INVERSE
DCT_ROWS

anonymous enum

Enumerator:

MAGIC_MASK
TYPE_MASK
DEPTH_MASK

anonymous enum

Various k-Means flags

Enumerator:

KMEANS_RANDOM_CENTERS
KMEANS_PP_CENTERS
KMEANS_USE_INITIAL_LABELS

anonymous enum

various border interpolation methods

Enumerator:

BORDER_REPLICATE
BORDER_CONSTANT
BORDER_REFLECT
BORDER_WRAP
BORDER_REFLECT_101
BORDER_REFLECT101
BORDER_TRANSPARENT
BORDER_DEFAULT
BORDER_ISOLATED

anonymous enum

type of the kernel

Enumerator:

KERNEL_GENERAL
KERNEL_SYMMETRICAL
KERNEL_ASYMMETRICAL
KERNEL_SMOOTH
KERNEL_INTEGER

anonymous enum

type of morphological operation

Enumerator:

MORPH_ERODE
MORPH_DILATE
MORPH_OPEN
MORPH_CLOSE
MORPH_GRADIENT
MORPH_TOPHAT
MORPH_BLACKHAT

anonymous enum

shape of the structuring element

Enumerator:

MORPH_RECT
MORPH_CROSS
MORPH_ELLIPSE

anonymous enum

interpolation algorithm

Enumerator:

INTER_NEAREST	nearest neighbor interpolation
INTER_LINEAR	bilinear interpolation
INTER_CUBIC	bicubic interpolation
INTER_AREA	area-based (or super) interpolation
INTER_LANCZOS4	Lanczos interpolation over 8x8 neighborhood.
INTER_MAX
WARP_INVERSE_MAP

anonymous enum

Enumerator:

INTER_BITS
INTER_BITS2
INTER_TAB_SIZE
INTER_TAB_SIZE2

anonymous enum

type of the threshold operation

Enumerator:

THRESH_BINARY
THRESH_BINARY_INV
THRESH_TRUNC
THRESH_TOZERO
THRESH_TOZERO_INV
THRESH_MASK
THRESH_OTSU

anonymous enum

adaptive threshold algorithm

Enumerator:

ADAPTIVE_THRESH_MEAN_C
ADAPTIVE_THRESH_GAUSSIAN_C

anonymous enum

Enumerator:

PROJ_SPHERICAL_ORTHO
PROJ_SPHERICAL_EQRECT

anonymous enum

class of the pixel in GrabCut algorithm

Enumerator:

GC_BGD	background
GC_FGD	foreground
GC_PR_BGD	most probably background
GC_PR_FGD	most probably foreground

anonymous enum

Enumerator:

FONT_HERSHEY_SIMPLEX
FONT_HERSHEY_PLAIN
FONT_HERSHEY_DUPLEX
FONT_HERSHEY_COMPLEX
FONT_HERSHEY_TRIPLEX
FONT_HERSHEY_COMPLEX_SMALL
FONT_HERSHEY_SCRIPT_SIMPLEX
FONT_HERSHEY_SCRIPT_COMPLEX
FONT_ITALIC

anonymous enum

GrabCut algorithm flags.

Enumerator:

GC_INIT_WITH_RECT
GC_INIT_WITH_MASK
GC_EVAL

anonymous enum

the inpainting algorithm

Enumerator:

INPAINT_NS
INPAINT_TELEA

anonymous enum

Enumerator:

FLOODFILL_FIXED_RANGE
FLOODFILL_MASK_ONLY

anonymous enum

type of the template matching operation

Enumerator:

TM_SQDIFF
TM_SQDIFF_NORMED
TM_CCORR
TM_CCORR_NORMED
TM_CCOEFF
TM_CCOEFF_NORMED

anonymous enum

mode of the contour retrieval algorithm

Enumerator:

RETR_EXTERNAL	retrieve only the most external (top-level) contours
RETR_LIST	retrieve all the contours without any hierarchical information
RETR_CCOMP	retrieve the connected components (that can possibly be nested)
RETR_TREE	retrieve all the contours and the whole hierarchy

anonymous enum

the contour approximation algorithm

Enumerator:

CHAIN_APPROX_NONE
CHAIN_APPROX_SIMPLE
CHAIN_APPROX_TC89_L1
CHAIN_APPROX_TC89_KCOS

---

Function Documentation

MatExpr cv::abs

(

const MatExpr &

e

)

MatExpr cv::abs

(

const Mat &

m

)

CV_EXPORTS_W void cv::absdiff	(	const Mat &	src1,
		const Scalar &	src2,
		CV_OUT Mat &	dst
	)

computes element-wise absolute difference of array and scalar (dst = abs(src1 - src2))

CV_EXPORTS_W void cv::absdiff	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst
	)

computes element-wise absolute difference of two arrays (dst = abs(src1 - src2))

CV_EXPORTS_W void cv::accumulate	(	const Mat &	src,
		CV_IN_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

adds image to the accumulator (dst += src). Unlike cv::add, dst and src can have different types.

CV_EXPORTS_W void cv::accumulateProduct	(	const Mat &	src1,
		const Mat &	src2,
		CV_IN_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

adds product of the 2 images to the accumulator (dst += src1*src2).

CV_EXPORTS_W void cv::accumulateSquare	(	const Mat &	src,
		CV_IN_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

adds squared src image to the accumulator (dst += src*src).

CV_EXPORTS_W void cv::accumulateWeighted	(	const Mat &	src,
		CV_IN_OUT Mat &	dst,
		double	alpha,
		const Mat &	mask = Mat()
	)

updates the running average (dst = dst*(1-alpha) + src*alpha)

CV_EXPORTS_W void cv::adaptiveThreshold	(	const Mat &	src,
		CV_OUT Mat &	dst,
		double	maxValue,
		int	adaptiveMethod,
		int	thresholdType,
		int	blockSize,
		double	C
	)

applies variable (adaptive) threshold to the image

CV_EXPORTS_W void cv::add	(	const Mat &	src1,
		const Scalar &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

adds scalar to a matrix (dst = src1 + src2)

void cv::add	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst
	)

adds one matrix to another (dst = src1 + src2)

CV_EXPORTS_W void cv::add	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		const Mat &mask	CV_WRAP_DEFAULTMat()
	)

adds one matrix to another (dst = src1 + src2)

void cv::addText	(	const Mat &	img,
		const string &	text,
		Point	org,
		CvFont	font
	)

CV_EXPORTS_W void cv::addWeighted	(	const Mat &	src1,
		double	alpha,
		const Mat &	src2,
		double	beta,
		double	gamma,
		CV_OUT Mat &	dst
	)

computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma)

void cv::approxPolyDP	(	const Mat &	curve,
		CV_OUT vector< Point > &	approxCurve,
		double	epsilon,
		bool	closed
	)

approximates contour or a curve using Douglas-Peucker algorithm

CV_EXPORTS_W double cv::arcLength	(	const Mat &	curve,
		bool	closed
	)

computes the contour perimeter (closed=true) or a curve length

CV_EXPORTS_W void cv::bilateralFilter	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	d,
		double	sigmaColor,
		double	sigmaSpace,
		int	borderType = BORDER_DEFAULT
	)

smooths the image using bilateral filter

CV_EXPORTS_W void cv::bitwise_and	(	const Mat &	src1,
		const Scalar &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

computes bitwise conjunction of an array and scalar (dst = src1 & src2)

CV_EXPORTS_W void cv::bitwise_and	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

computes bitwise conjunction of the two arrays (dst = src1 & src2)

CV_EXPORTS_W void cv::bitwise_not	(	const Mat &	src,
		CV_OUT Mat &	dst
	)

inverts each bit of array (dst = ~src)

CV_EXPORTS_W void cv::bitwise_or	(	const Mat &	src1,
		const Scalar &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

computes bitwise disjunction of an array and scalar (dst = src1 | src2)

CV_EXPORTS_W void cv::bitwise_or	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

computes bitwise disjunction of the two arrays (dst = src1 | src2)

CV_EXPORTS_W void cv::bitwise_xor	(	const Mat &	src1,
		const Scalar &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

computes bitwise exclusive-or of an array and scalar (dst = src1 ^ src2)

CV_EXPORTS_W void cv::bitwise_xor	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		const Mat &	mask = Mat()
	)

computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2)

CV_EXPORTS_W void cv::blur	(	const Mat &	src,
		CV_OUT Mat &	dst,
		Size	ksize,
		Point	anchor = Point(-1,-1),
		int	borderType = BORDER_DEFAULT
	)

a synonym for normalized box filter

CV_EXPORTS_W int cv::borderInterpolate	(	int	p,
		int	len,
		int	borderType
	)

1D interpolation function: returns coordinate of the "donor" pixel for the specified location p.

CV_EXPORTS_W Rect cv::boundingRect

(

const Mat &

points

)

computes the bounding rectangle for a contour

CV_EXPORTS_W void cv::boxFilter	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	ddepth,
		Size	ksize,
		Point	anchor = Point(-1,-1),
		bool	normalize = true,
		int	borderType = BORDER_DEFAULT
	)

smooths the image using the box filter. Each pixel is processed in O(1) time

void cv::buildPyramid	(	const Mat &	src,
		CV_OUT vector< Mat > &	dst,
		int	maxlevel
	)

builds the gaussian pyramid using pyrDown() as a basic operation

void cv::calcBackProject	(	const Mat *	images,
		int	nimages,
		const int *	channels,
		const SparseMat &	hist,
		Mat &	backProject,
		const float **	ranges,
		double	scale = 1,
		bool	uniform = true
	)

computes back projection for the set of images

void cv::calcBackProject	(	const Mat *	images,
		int	nimages,
		const int *	channels,
		const Mat &	hist,
		Mat &	backProject,
		const float **	ranges,
		double	scale = 1,
		bool	uniform = true
	)

computes back projection for the set of images

CV_EXPORTS_W void cv::calcCovarMatrix	(	const Mat &	samples,
		CV_OUT Mat &	covar,
		CV_OUT Mat &	mean,
		int	flags,
		int	ctype = CV_64F
	)

computes covariation matrix of a set of samples

void cv::calcCovarMatrix	(	const Mat *	samples,
		int	nsamples,
		Mat &	covar,
		Mat &	mean,
		int	flags,
		int	ctype = CV_64F
	)

computes covariation matrix of a set of samples

CV_EXPORTS_W double cv::calcGlobalOrientation	(	const Mat &	orientation,
		const Mat &	mask,
		const Mat &	mhi,
		double	timestamp,
		double	duration
	)

computes the global orientation of the selected motion history image part

void cv::calcHist	(	const Mat *	images,
		int	nimages,
		const int *	channels,
		const Mat &	mask,
		SparseMat &	hist,
		int	dims,
		const int *	histSize,
		const float **	ranges,
		bool	uniform = true,
		bool	accumulate = false
	)

computes the joint sparse histogram for a set of images.

void cv::calcHist	(	const Mat *	images,
		int	nimages,
		const int *	channels,
		const Mat &	mask,
		Mat &	hist,
		int	dims,
		const int *	histSize,
		const float **	ranges,
		bool	uniform = true,
		bool	accumulate = false
	)

computes the joint dense histogram for a set of images.

CV_EXPORTS_W void cv::calcMotionGradient	(	const Mat &	mhi,
		CV_OUT Mat &	mask,
		CV_OUT Mat &	orientation,
		double	delta1,
		double	delta2,
		int	apertureSize = 3
	)

computes the motion gradient orientation image from the motion history image

CV_EXPORTS_W void cv::calcOpticalFlowFarneback	(	const Mat &	prev,
		const Mat &	next,
		CV_OUT Mat &	flow,
		double	pyr_scale,
		int	levels,
		int	winsize,
		int	iterations,
		int	poly_n,
		double	poly_sigma,
		int	flags
	)

computes dense optical flow using Farneback algorithm

CV_EXPORTS_W void cv::calcOpticalFlowPyrLK	(	const Mat &	prevImg,
		const Mat &	nextImg,
		const vector< Point2f > &	prevPts,
		CV_OUT vector< Point2f > &	nextPts,
		CV_OUT vector< uchar > &	status,
		CV_OUT vector< float > &	err,
		Size	winSize = Size(15, 15),
		int	maxLevel = 3,
		TermCriteria	criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01),
		double	derivLambda = 0.5,
		int	flags = 0
	)

computes sparse optical flow using multi-scale Lucas-Kanade algorithm

CV_EXPORTS_W double cv::calibrateCamera	(	const vector< vector< Point3f > > &	objectPoints,
		const vector< vector< Point2f > > &	imagePoints,
		Size	imageSize,
		CV_IN_OUT Mat &	cameraMatrix,
		CV_IN_OUT Mat &	distCoeffs,
		CV_OUT vector< Mat > &	rvecs,
		CV_OUT vector< Mat > &	tvecs,
		int	flags = 0
	)

finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.

CV_EXPORTS_W void cv::calibrationMatrixValues	(	const Mat &	cameraMatrix,
		Size	imageSize,
		double	apertureWidth,
		double	apertureHeight,
		CV_OUT double &	fovx,
		CV_OUT double &	fovy,
		CV_OUT double &	focalLength,
		CV_OUT Point2d &	principalPoint,
		CV_OUT double &	aspectRatio
	)

computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size.

CV_EXPORTS_W RotatedRect cv::CamShift	(	const Mat &	probImage,
		CV_IN_OUT Rect &	window,
		TermCriteria	criteria
	)

updates the object tracking window using CAMSHIFT algorithm

CV_EXPORTS_W void cv::cartToPolar	(	const Mat &	x,
		const Mat &	y,
		CV_OUT Mat &	magnitude,
		CV_OUT Mat &	angle,
		bool	angleInDegrees = false
	)

converts Cartesian coordinates to polar

int cv::chamerMatching	(	Mat &	img,
		Mat &	templ,
		vector< vector< Point > > &	results,
		vector< float > &	cost,
		double	templScale = 1,
		int	maxMatches = 20,
		double	minMatchDistance = 1.0,
		int	padX = 3,
		int	padY = 3,
		int	scales = 5,
		double	minScale = 0.6,
		double	maxScale = 1.6,
		double	orientationWeight = 0.5,
		double	truncate = 20
	)

CV_EXPORTS_W bool cv::checkHardwareSupport

(

int

feature

)

Returns SSE etc. support status

The function returns true if certain hardware features are available. Currently, the following features are recognized:

• CV_CPU_MMX - MMX
• CV_CPU_SSE - SSE
• CV_CPU_SSE2 - SSE 2
• CV_CPU_SSE3 - SSE 3
• CV_CPU_SSSE3 - SSSE 3
• CV_CPU_SSE4_1 - SSE 4.1
• CV_CPU_SSE4_2 - SSE 4.2
• CV_CPU_AVX - AVX

Note:

{Note that the function output is not static. Once you called cv::useOptimized(false), most of the hardware acceleration is disabled and thus the function will returns false, until you call cv::useOptimized(true)}

CV_EXPORTS_W bool cv::checkRange	(	const Mat &	a,
		bool	quiet = true,
		CV_OUT Point *	pt = 0,
		double	minVal = -DBL_MAX,
		double	maxVal = DBL_MAX
	)

checks that each matrix element is within the specified range.

bool cv::Cholesky	(	double *	A,
		int	m,
		double *	b,
		int	n
	)

bool cv::Cholesky	(	float *	A,
		int	m,
		float *	b,
		int	n
	)

CV_EXPORTS_W void cv::circle	(	Mat &	img,
		Point	center,
		int	radius,
		const Scalar &	color,
		int	thickness = 1,
		int	lineType = 8,
		int	shift = 0
	)

draws the circle outline or a solid circle in the image

void cv::clearSeq

(

CvSeq *

seq

)

CV_EXPORTS_W bool cv::clipLine	(	Rect	imgRect,
		CV_IN_OUT Point &	pt1,
		CV_IN_OUT Point &	pt2
	)

clips the line segment by the rectangle imgRect

bool cv::clipLine	(	Size	imgSize,
		CV_IN_OUT Point &	pt1,
		CV_IN_OUT Point &	pt2
	)

clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height)

CV_EXPORTS_W void cv::compare	(	const Mat &	src1,
		double	s,
		CV_OUT Mat &	dst,
		int	cmpop
	)

compares elements of array with scalar (dst = src1 <cmpop> src2)

CV_EXPORTS_W void cv::compare	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		int	cmpop
	)

compares elements of two arrays (dst = src1 <cmpop> src2)

double cv::compareHist	(	const SparseMat &	H1,
		const SparseMat &	H2,
		int	method
	)

compares two histograms stored in sparse arrays

CV_EXPORTS_W double cv::compareHist	(	const Mat &	H1,
		const Mat &	H2,
		int	method
	)

compares two histograms stored in dense arrays

CV_EXPORTS_W void cv::completeSymm	(	Mat &	mtx,
		bool	lowerToUpper = false
	)

extends the symmetrical matrix from the lower half or from the upper half

CV_EXPORTS_W void cv::composeRT	(	const Mat &	rvec1,
		const Mat &	tvec1,
		const Mat &	rvec2,
		const Mat &	tvec2,
		CV_OUT Mat &	rvec3,
		CV_OUT Mat &	tvec3
	)

composes 2 [R|t] transformations together

void cv::computeCorrespondEpilines	(	const Mat &	points1,
		int	whichImage,
		const Mat &	F,
		CV_OUT vector< Vec3f > &	lines
	)

finds coordinates of epipolar lines corresponding the specified points

void cv::computeRecallPrecisionCurve	(	const vector< vector< DMatch > > &	matches1to2,
		const vector< vector< uchar > > &	correctMatches1to2Mask,
		vector< Point2f > &	recallPrecisionCurve
	)

CV_EXPORTS_W double cv::contourArea	(	const Mat &	contour,
		bool	oriented = false
	)

computes the contour area

CV_EXPORTS_W void cv::convertMaps	(	const Mat &	map1,
		const Mat &	map2,
		CV_OUT Mat &	dstmap1,
		CV_OUT Mat &	dstmap2,
		int	dstmap1type,
		bool	nninterpolation = false
	)

converts maps for remap from floating-point to fixed-point format or backwards

void cv::convertPointsHomogeneous	(	const Mat &	src,
		CV_OUT vector< Point2f > &	dst
	)

converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z))

void cv::convertPointsHomogeneous	(	const Mat &	src,
		CV_OUT vector< Point3f > &	dst
	)

converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1))

CV_EXPORTS_W void cv::convertScaleAbs	(	const Mat &	src,
		CV_OUT Mat &	dst,
		double	alpha = 1,
		double	beta = 0
	)

scales array elements, computes absolute values and converts the results to 8-bit unsigned integers: dst(i)=saturate_cast<uchar>abs(src(i)*alpha+beta)

void cv::convexHull	(	const Mat &	points,
		CV_OUT vector< Point > &	hull,
		bool	clockwise = false
	)

computes convex hull for a set of 2D points.

void cv::convexHull	(	const Mat &	points,
		CV_OUT vector< int > &	hull,
		bool	clockwise = false
	)

computes convex hull for a set of 2D points.

CV_EXPORTS_W void cv::copyMakeBorder	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	top,
		int	bottom,
		int	left,
		int	right,
		int	borderType,
		const Scalar &	value = Scalar()
	)

copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode

CV_EXPORTS_W void cv::cornerEigenValsAndVecs	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	blockSize,
		int	ksize,
		int	borderType = BORDER_DEFAULT
	)

computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix.

CV_EXPORTS_W void cv::cornerHarris	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	blockSize,
		int	ksize,
		double	k,
		int	borderType = BORDER_DEFAULT
	)

computes Harris cornerness criteria at each image pixel

CV_EXPORTS_W void cv::cornerMinEigenVal	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	blockSize,
		int	ksize = 3,
		int	borderType = BORDER_DEFAULT
	)

computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria

void cv::cornerSubPix	(	const Mat &	image,
		vector< Point2f > &	corners,
		Size	winSize,
		Size	zeroZone,
		TermCriteria	criteria
	)

adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria

CV_EXPORTS_W int cv::countNonZero

(

const Mat &

src

)

computes the number of nonzero array elements

Ptr<FilterEngine> cv::createBoxFilter	(	int	srcType,
		int	dstType,
		Size	ksize,
		Point	anchor = Point(-1,-1),
		bool	normalize = true,
		int	borderType = BORDER_DEFAULT
	)

returns box filter engine

int cv::createButton	(	const string &	bar_name,
		ButtonCallback	on_change,
		void *userdata	CV_DEFAULTNULL,
		int type	CV_DEFAULTCV_PUSH_BUTTON,
		bool initial_button_state	CV_DEFAULT0
	)

Ptr<FilterEngine> cv::createDerivFilter	(	int	srcType,
		int	dstType,
		int	dx,
		int	dy,
		int	ksize,
		int	borderType = BORDER_DEFAULT
	)

returns filter engine for the generalized Sobel operator

Ptr<FilterEngine> cv::createGaussianFilter	(	int	type,
		Size	ksize,
		double	sigma1,
		double	sigma2 = 0,
		int	borderType = BORDER_DEFAULT
	)

returns the Gaussian filter engine

Ptr<FilterEngine> cv::createLinearFilter	(	int	srcType,
		int	dstType,
		const Mat &	kernel,
		Point	_anchor = Point(-1,-1),
		double	delta = 0,
		int	_rowBorderType = BORDER_DEFAULT,
		int	_columnBorderType = -1,
		const Scalar &	_borderValue = Scalar()
	)

returns the non-separable linear filter engine

Ptr<FilterEngine> cv::createMorphologyFilter	(	int	op,
		int	type,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1),
		int	_rowBorderType = BORDER_CONSTANT,
		int	_columnBorderType = -1,
		const Scalar &	_borderValue = morphologyDefaultBorderValue()
	)

returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported.

void cv::createOpenGLCallback	(	const string &	winname,
		CvOpenGLCallback	callbackOpenGL,
		void *userdata	CV_DEFAULT0
	)

Ptr<FilterEngine> cv::createSeparableLinearFilter	(	int	srcType,
		int	dstType,
		const Mat &	rowKernel,
		const Mat &	columnKernel,
		Point	_anchor = Point(-1,-1),
		double	delta = 0,
		int	_rowBorderType = BORDER_DEFAULT,
		int	_columnBorderType = -1,
		const Scalar &	_borderValue = Scalar()
	)

returns the separable linear filter engine

int cv::createTrackbar	(	const string &	trackbarname,
		const string &	winname,
		int *	value,
		int	count,
		TrackbarCallback onChange	CV_DEFAULT0,
		void *userdata	CV_DEFAULT0
	)

CV_EXPORTS_W float cv::cubeRoot

(

float

val

)

computes cube root of the argument

template<typename _Tp >

void cv::cv2eigen	(	const Mat &	src,
		Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &	dst
	)			[inline]

template<typename _Tp >

void cv::cv2eigen	(	const Mat &	src,
		Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &	dst
	)			[inline]

template<typename _Tp >

void cv::cv2eigen	(	const Mat &	src,
		Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &	dst
	)			[inline]

template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>

void cv::cv2eigen	(	const Mat &	src,
		Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &	dst
	)			[inline]

cv::CV_EXPORTS_AS

(

projectPointsJ

)

const

projects points from the model coordinate space to the image coordinates. Also computes derivatives of the image coordinates w.r.t the intrinsic and extrinsic camera parameters

cv::CV_EXPORTS_AS

(

composeRT_J

)

const

composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments

cv::CV_EXPORTS_AS

(

findHomographyAndOutliers

)

const

computes the best-fit perspective transformation mapping srcPoints to dstPoints.

cv::CV_EXPORTS_AS

(

RodriguesJ

)

const

converts rotation vector to rotation matrix or vice versa using Rodrigues transformation. Also computes the Jacobian matrix

cv::CV_EXPORTS_AS

(

floodFillMask

)

fills the semi-uniform image region and/or the mask starting from the specified seed point

cv::CV_EXPORTS_AS

(

integral3

)

const

computes the integral image, integral for the squared image and the tilted integral image

cv::CV_EXPORTS_AS

(

integral2

)

const

computes the integral image and integral for the squared image

cv::CV_EXPORTS_AS

(

houghCircles

)

const

finds circles in the grayscale image using 2+1 gradient Hough transform

cv::CV_EXPORTS_AS

(

houghLinesP

)

finds line segments in the black-n-white image using probabalistic Hough transform

cv::CV_EXPORTS_AS

(

houghLines

)

const

finds lines in the black-n-white image using the standard or pyramid Hough transform

cv::CV_EXPORTS_AS

(

canny

)

const

applies Canny edge detector and produces the edge map.

cv::CV_EXPORTS_AS

(

laplacian

)

const

applies Laplacian operator to the image

cv::CV_EXPORTS_AS

(

scharr

)

const

applies the vertical or horizontal Scharr operator to the image

cv::CV_EXPORTS_AS

(

sobel

)

const

applies generalized Sobel operator to the image

cv::CV_EXPORTS_AS

(

gaussianBlur

)

const

smooths the image using Gaussian filter.

Mat cv::cvarrToMat	(	const CvArr *	arr,
		bool	copyData = false,
		bool	allowND = true,
		int	coiMode = 0
	)

converts array (CvMat or IplImage) to cv::Mat

CV_EXPORTS_W void cv::cvtColor	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	code,
		int	dstCn = 0
	)

converts image from one color space to another

CV_EXPORTS_W void cv::dct	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	flags = 0
	)

performs forward or inverse 1D or 2D Discrete Cosine Transformation

CV_EXPORTS_W void cv::decomposeProjectionMatrix	(	const Mat &	projMatrix,
		CV_OUT Mat &	cameraMatrix,
		CV_OUT Mat &	rotMatrix,
		CV_OUT Mat &	transVect,
		CV_OUT Mat &	rotMatrixX,
		CV_OUT Mat &	rotMatrixY,
		CV_OUT Mat &	rotMatrixZ,
		CV_OUT Vec3d &	eulerAngles
	)

Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector. The rotation matrix is further decomposed.

void cv::decomposeProjectionMatrix	(	const Mat &	projMatrix,
		Mat &	cameraMatrix,
		Mat &	rotMatrix,
		Mat &	transVect
	)

Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector.

CV_EXPORTS_W void cv::destroyWindow

(

const string &

winname

)

CV_EXPORTS_W double cv::determinant

(

const Mat &

mtx

)

computes determinant of a square matrix

CV_EXPORTS_W void cv::dft	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	flags = 0,
		int	nonzeroRows = 0
	)

performs forward or inverse 1D or 2D Discrete Fourier Transformation

CV_EXPORTS_W void cv::dilate	(	const Mat &	src,
		CV_OUT Mat &	dst,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1),
		int	iterations = 1,
		int	borderType = BORDER_CONSTANT,
		const Scalar &	borderValue = morphologyDefaultBorderValue()
	)

dilates the image (applies the local maximum operator)

void cv::displayOverlay	(	const string &	winname,
		const string &	text,
		int	delayms
	)

void cv::displayStatusBar	(	const string &	winname,
		const string &	text,
		int	delayms
	)

CV_EXPORTS_W void cv::distanceTransform	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	distanceType,
		int	maskSize
	)

computes the distance transform map

void cv::distanceTransform	(	const Mat &	src,
		CV_OUT Mat &	dst,
		Mat &	labels,
		int	distanceType,
		int	maskSize
	)

builds the discrete Voronoi diagram

CV_EXPORTS_W void cv::divide	(	double	scale,
		const Mat &	src2,
		CV_OUT Mat &	dst
	)

computes element-wise weighted reciprocal of an array (dst = scale/src2)

CV_EXPORTS_W void cv::divide	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		double	scale = 1
	)

computes element-wise weighted quotient of the two arrays (dst = scale*src1/src2)

template<typename _Tp >

DataType<_Tp>::work_type cv::dot	(	const Vector< _Tp > &	v1,
		const Vector< _Tp > &	v2
	)			[inline]

void cv::drawChessboardCorners	(	Mat &	image,
		Size	patternSize,
		const vector< Point2f > &	corners,
		bool	patternWasFound
	)

CV_EXPORTS_W void cv::drawChessboardCorners	(	Mat &	image,
		Size	patternSize,
		const Mat &	corners,
		bool	patternWasFound
	)

draws the checkerboard pattern (found or partly found) in the image

void cv::drawContours	(	Mat &	image,
		const vector< vector< Point > > &	contours,
		int	contourIdx,
		const Scalar &	color,
		int	thickness = 1,
		int	lineType = 8,
		const vector< Vec4i > &	hierarchy = vector< Vec4i >(),
		int	maxLevel = INT_MAX,
		Point	offset = Point()
	)

draws contours in the image

void cv::drawKeypoints	(	const Mat &	image,
		const vector< KeyPoint > &	keypoints,
		Mat &	outImg,
		const Scalar &	color = Scalar::all(-1),
		int	flags = DrawMatchesFlags::DEFAULT
	)

void cv::drawMatches	(	const Mat &	img1,
		const vector< KeyPoint > &	keypoints1,
		const Mat &	img2,
		const vector< KeyPoint > &	keypoints2,
		const vector< vector< DMatch > > &	matches1to2,
		Mat &	outImg,
		const Scalar &	matchColor = Scalar::all(-1),
		const Scalar &	singlePointColor = Scalar::all(-1),
		const vector< vector< char > > &	matchesMask = vector< vector< char > >(),
		int	flags = DrawMatchesFlags::DEFAULT
	)

void cv::drawMatches	(	const Mat &	img1,
		const vector< KeyPoint > &	keypoints1,
		const Mat &	img2,
		const vector< KeyPoint > &	keypoints2,
		const vector< DMatch > &	matches1to2,
		Mat &	outImg,
		const Scalar &	matchColor = Scalar::all(-1),
		const Scalar &	singlePointColor = Scalar::all(-1),
		const vector< char > &	matchesMask = vector< char >(),
		int	flags = DrawMatchesFlags::DEFAULT
	)

bool cv::eigen	(	const Mat &	src,
		CV_OUT Mat &	eigenvalues,
		CV_OUT Mat &	eigenvectors,
		int	lowindex = -1,
		int	highindex = -1
	)

finds eigenvalues and eigenvectors of a symmetric matrix

bool cv::eigen	(	const Mat &	src,
		CV_OUT Mat &	eigenvalues,
		int	lowindex = -1,
		int	highindex = -1
	)

finds eigenvalues of a symmetric matrix

template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>

void cv::eigen2cv	(	const Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &	src,
		Mat &	dst
	)			[inline]

CV_EXPORTS_W void cv::ellipse	(	Mat &	img,
		const RotatedRect &	box,
		const Scalar &	color,
		int	thickness = 1,
		int	lineType = 8
	)

draws a rotated ellipse in the image

CV_EXPORTS_W void cv::ellipse	(	Mat &	img,
		Point	center,
		Size	axes,
		double	angle,
		double	startAngle,
		double	endAngle,
		const Scalar &	color,
		int	thickness = 1,
		int	lineType = 8,
		int	shift = 0
	)

draws an elliptic arc, ellipse sector or a rotated ellipse in the image

CV_EXPORTS_W void cv::ellipse2Poly	(	Point	center,
		Size	axes,
		int	angle,
		int	arcStart,
		int	arcEnd,
		int	delta,
		CV_OUT vector< Point > &	pts
	)

converts elliptic arc to a polygonal curve

CV_EXPORTS_W void cv::equalizeHist	(	const Mat &	src,
		CV_OUT Mat &	dst
	)

normalizes the grayscale image brightness and contrast by normalizing its histogram

CV_EXPORTS_W void cv::erode	(	const Mat &	src,
		CV_OUT Mat &	dst,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1),
		int	iterations = 1,
		int	borderType = BORDER_CONSTANT,
		const Scalar &	borderValue = morphologyDefaultBorderValue()
	)

erodes the image (applies the local minimum operator)

void cv::error

(

const Exception &

exc

)

Signals an error and raises the exception.

By default the function prints information about the error to stderr, then it either stops if setBreakOnError() had been called before or raises the exception. It is possible to alternate error processing by using redirectError().

Parameters:

exc

the exception raisen.

int cv::estimateAffine3D	(	const Mat &	from,
		const Mat &	to,
		CV_OUT Mat &	dst,
		CV_OUT vector< uchar > &	outliers,
		double	param1 = 3.0,
		double	param2 = 0.99
	)

computes the best-fit affine transformation that maps one 3D point set to another (RANSAC algorithm is used)

CV_EXPORTS_W Mat cv::estimateRigidTransform	(	const Mat &	A,
		const Mat &	B,
		bool	fullAffine
	)

estimates the best-fit affine transformation that maps one 2D point set to another or one image to another.

void cv::evaluateFeatureDetector	(	const Mat &	img1,
		const Mat &	img2,
		const Mat &	H1to2,
		vector< KeyPoint > *	keypoints1,
		vector< KeyPoint > *	keypoints2,
		float &	repeatability,
		int &	correspCount,
		const Ptr< FeatureDetector > &	fdetector = Ptr< FeatureDetector >()
	)

void cv::evaluateGenericDescriptorMatcher	(	const Mat &	img1,
		const Mat &	img2,
		const Mat &	H1to2,
		vector< KeyPoint > &	keypoints1,
		vector< KeyPoint > &	keypoints2,
		vector< vector< DMatch > > *	matches1to2,
		vector< vector< uchar > > *	correctMatches1to2Mask,
		vector< Point2f > &	recallPrecisionCurve,
		const Ptr< GenericDescriptorMatcher > &	dmatch = Ptr< GenericDescriptorMatcher >()
	)

CV_EXPORTS_W void cv::exp	(	const Mat &	src,
		CV_OUT Mat &	dst
	)

computes exponent of each matrix element (dst = e**src)

void cv::extractImageCOI	(	const CvArr *	arr,
		CV_OUT Mat &	coiimg,
		int	coi = -1
	)

extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it.

void cv::FAST	(	const Mat &	image,
		CV_OUT vector< KeyPoint > &	keypoints,
		int	threshold,
		bool	nonmaxSupression = true
	)

detects corners using FAST algorithm by E. Rosten

CV_EXPORTS_W float cv::fastAtan2	(	float	y,
		float	x
	)

computes the angle in degrees (0..360) of the vector (x,y)

void cv::fastFree

(

void *

ptr

)

Frees the memory allocated with cv::fastMalloc

This is the corresponding deallocation function for cv::fastMalloc(). When ptr==NULL, the function has no effect.

void* cv::fastMalloc

(

size_t

bufSize

)

Allocates memory buffer

This is specialized OpenCV memory allocation function that returns properly aligned memory buffers. The usage is identical to malloc(). The allocated buffers must be freed with cv::fastFree(). If there is not enough memory, the function calls cv::error(), which raises an exception.

Parameters:

bufSize

buffer size in bytes

Returns:

the allocated memory buffer.

void cv::fillConvexPoly	(	Mat &	img,
		const Point *	pts,
		int	npts,
		const Scalar &	color,
		int	lineType = 8,
		int	shift = 0
	)

draws a filled convex polygon in the image

void cv::fillPoly	(	Mat &	img,
		const Point **	pts,
		const int *	npts,
		int	ncontours,
		const Scalar &	color,
		int	lineType = 8,
		int	shift = 0,
		Point	offset = Point()
	)

fills an area bounded by one or more polygons

CV_EXPORTS_W void cv::filter2D	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	ddepth,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1),
		double	delta = 0,
		int	borderType = BORDER_DEFAULT
	)

applies non-separable 2D linear filter to the image

CV_EXPORTS_W void cv::filterSpeckles	(	Mat &	img,
		double	newVal,
		int	maxSpeckleSize,
		double	maxDiff,
		Mat &	buf
	)

filters off speckles (small regions of incorrectly computed disparity)

bool cv::find4QuadCornerSubpix	(	const Mat &	img,
		std::vector< Point2f > &	corners,
		Size	region_size
	)

CV_EXPORTS_W bool cv::findChessboardCorners	(	const Mat &	image,
		Size	patternSize,
		CV_OUT vector< Point2f > &	corners,
		int	flags = CALIB_CB_ADAPTIVE_THRESH+CALIB_CB_NORMALIZE_IMAGE
	)

finds checkerboard pattern of the specified size in the image

CV_EXPORTS_W bool cv::findCirclesGrid	(	const Mat &	image,
		Size	patternSize,
		CV_OUT vector< Point2f > &	centers,
		int	flags = 0
	)

finds circles' grid pattern of the specified size in the image

void cv::findContours	(	Mat &	image,
		CV_OUT vector< vector< Point > > &	contours,
		int	mode,
		int	method,
		Point	offset = Point()
	)

retrieves contours from black-n-white image.

void cv::findContours	(	Mat &	image,
		CV_OUT vector< vector< Point > > &	contours,
		vector< Vec4i > &	hierarchy,
		int	mode,
		int	method,
		Point	offset = Point()
	)

retrieves contours and the hierarchical information from black-n-white image.

CV_EXPORTS_W Mat cv::findFundamentalMat	(	const Mat &	points1,
		const Mat &	points2,
		int	method = FM_RANSAC,
		double	param1 = 3.,
		double	param2 = 0.99
	)

finds fundamental matrix from a set of corresponding 2D points

Mat cv::findFundamentalMat	(	const Mat &	points1,
		const Mat &	points2,
		CV_OUT vector< uchar > &	mask,
		int	method = FM_RANSAC,
		double	param1 = 3.,
		double	param2 = 0.99
	)

finds fundamental matrix from a set of corresponding 2D points

CV_EXPORTS_W Mat cv::findHomography	(	const Mat &	srcPoints,
		const Mat &	dstPoints,
		int	method = 0,
		double	ransacReprojThreshold = 3
	)

computes the best-fit perspective transformation mapping srcPoints to dstPoints.

CV_EXPORTS_W RotatedRect cv::fitEllipse

(

const Mat &

points

)

fits ellipse to the set of 2D points

void cv::fitLine	(	const Mat &	points,
		CV_OUT Vec4f &	line,
		int	distType,
		double	param,
		double	reps,
		double	aeps
	)

fits line to the set of 2D points using M-estimator algorithm

fits line to the set of 3D points using M-estimator algorithm

CV_EXPORTS_W void cv::flip	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	flipCode
	)

reverses the order of the rows, columns or both in a matrix

CV_EXPORTS_W int cv::floodFill	(	Mat &	image,
		Point	seedPoint,
		Scalar	newVal,
		CV_OUT Rect *	rect = 0,
		Scalar	loDiff = Scalar(),
		Scalar	upDiff = Scalar(),
		int	flags = 4
	)

fills the semi-uniform image region starting from the specified seed point

CvFont cv::fontQt	(	const string &	nameFont,
		int pointSize	CV_DEFAULT-1,
		Scalar color	CV_DEFAULTScalar::all(0),
		int weight	CV_DEFAULTCV_FONT_NORMAL,
		int style	CV_DEFAULTCV_STYLE_NORMAL,
		int spacing	CV_DEFAULT0
	)

string cv::format	(	const char *	fmt,
			...
	)

string cv::fromUtf16

(

const WString &

str

)

CV_EXPORTS_W void cv::gemm	(	const Mat &	src1,
		const Mat &	src2,
		double	alpha,
		const Mat &	src3,
		double	gamma,
		CV_OUT Mat &	dst,
		int	flags = 0
	)

implements generalized matrix product algorithm GEMM from BLAS

Mat cv::getAffineTransform	(	const Point2f	src[],
		const Point2f	dst[]
	)

returns 2x3 affine transformation for the corresponding 3 point pairs.

Ptr<BaseColumnFilter> cv::getColumnSumFilter	(	int	sumType,
		int	dstType,
		int	ksize,
		int	anchor = -1,
		double	scale = 1
	)

returns vertical 1D box filter

ConvertData cv::getConvertElem	(	int	fromType,
		int	toType
	)

returns the function for converting pixels from one data type to another

ConvertScaleData cv::getConvertScaleElem	(	int	fromType,
		int	toType
	)

returns the function for converting pixels from one data type to another with the optional scaling

int64 cv::getCPUTickCount

(

)

Returns the number of CPU ticks.

On platforms where the feature is available, the function returns the number of CPU ticks since the certain event (normally, the system power-on moment). Using this function one can accurately measure the execution time of very small code fragments, for which cv::getTickCount() granularity is not enough.

uchar* cv::getData

(

IplImage *

image

)

[inline]

CV_EXPORTS_W Mat cv::getDefaultNewCameraMatrix	(	const Mat &	cameraMatrix,
		Size	imgsize = Size(),
		bool	centerPrincipalPoint = false
	)

returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true)

CV_EXPORTS_W void cv::getDerivKernels	(	CV_OUT Mat &	kx,
		CV_OUT Mat &	ky,
		int	dx,
		int	dy,
		int	ksize,
		bool	normalize = false,
		int	ktype = CV_32F
	)

initializes kernels of the generalized Sobel operator

CV_EXPORTS_W Mat cv::getGaussianKernel	(	int	ksize,
		double	sigma,
		int	ktype = CV_64F
	)

returns the Gaussian kernel with the specified parameters

int cv::getKernelType	(	const Mat &	kernel,
		Point	anchor
	)

returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients.

Ptr<BaseColumnFilter> cv::getLinearColumnFilter	(	int	bufType,
		int	dstType,
		const Mat &	kernel,
		int	anchor,
		int	symmetryType,
		double	delta = 0,
		int	bits = 0
	)

returns the primitive column filter with the specified kernel

Ptr<BaseFilter> cv::getLinearFilter	(	int	srcType,
		int	dstType,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1),
		double	delta = 0,
		int	bits = 0
	)

returns 2D filter with the specified kernel

Ptr<BaseRowFilter> cv::getLinearRowFilter	(	int	srcType,
		int	bufType,
		const Mat &	kernel,
		int	anchor,
		int	symmetryType
	)

returns the primitive row filter with the specified kernel

Ptr<BaseColumnFilter> cv::getMorphologyColumnFilter	(	int	op,
		int	type,
		int	ksize,
		int	anchor = -1
	)

returns vertical 1D morphological filter

Ptr<BaseFilter> cv::getMorphologyFilter	(	int	op,
		int	type,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1)
	)

returns 2D morphological filter

Ptr<BaseRowFilter> cv::getMorphologyRowFilter	(	int	op,
		int	type,
		int	ksize,
		int	anchor = -1
	)

returns horizontal 1D morphological filter

int cv::getNumThreads

(

)

CV_EXPORTS_W int cv::getOptimalDFTSize

(

int

vecsize

)

computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently

CV_EXPORTS_W Mat cv::getOptimalNewCameraMatrix	(	const Mat &	cameraMatrix,
		const Mat &	distCoeffs,
		Size	imageSize,
		double	alpha,
		Size	newImgSize = Size(),
		CV_OUT Rect *	validPixROI = 0
	)

returns the optimal new camera matrix

Mat cv::getPerspectiveTransform	(	const Point2f	src[],
		const Point2f	dst[]
	)

returns 3x3 perspective transformation for the corresponding 4 point pairs.

float cv::getRecall	(	const vector< Point2f > &	recallPrecisionCurve,
		float	l_precision
	)

CV_EXPORTS_W void cv::getRectSubPix	(	const Mat &	image,
		Size	patchSize,
		Point2f	center,
		CV_OUT Mat &	patch,
		int	patchType = -1
	)

extracts rectangle from the image at sub-pixel location

CV_EXPORTS_W Mat cv::getRotationMatrix2D	(	Point2f	center,
		double	angle,
		double	scale
	)

returns 2x3 affine transformation matrix for the planar rotation.

Ptr<BaseRowFilter> cv::getRowSumFilter	(	int	srcType,
		int	sumType,
		int	ksize,
		int	anchor = -1
	)

returns horizontal 1D box filter

schar* cv::getSeqElem	(	const CvSeq *	seq,
		int	index
	)

CV_EXPORTS_W Mat cv::getStructuringElement	(	int	shape,
		Size	ksize,
		Point	anchor = Point(-1,-1)
	)

returns structuring element of the specified shape and size

CV_EXPORTS_W Size cv::getTextSize	(	const string &	text,
		int	fontFace,
		double	fontScale,
		int	thickness,
		CV_OUT int *	baseLine
	)

returns bounding box of the text string

int cv::getThreadNum

(

)

int64 cv::getTickCount

(

)

Returns the number of ticks.

The function returns the number of ticks since the certain event (e.g. when the machine was turned on). It can be used to initialize cv::RNG or to measure a function execution time by reading the tick count before and after the function call. The granularity of ticks depends on the hardware and OS used. Use cv::getTickFrequency() to convert ticks to seconds.

CV_EXPORTS_W double cv::getTickFrequency

(

)

Returns the number of ticks per seconds.

The function returns the number of ticks (as returned by cv::getTickCount()) per second. The following code computes the execution time in milliseconds:

  double exec_time = (double)getTickCount();
  // do something ...
  exec_time = ((double)getTickCount() - exec_time)*1000./getTickFrequency();

CV_EXPORTS_W int cv::getTrackbarPos	(	const string &	trackbarname,
		const string &	winname
	)

CV_EXPORTS_W Rect cv::getValidDisparityROI	(	Rect	roi1,
		Rect	roi2,
		int	minDisparity,
		int	numberOfDisparities,
		int	SADWindowSize
	)

computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())

CV_EXPORTS_W double cv::getWindowProperty	(	const string &	winname,
		int	prop_id
	)

CV_EXPORTS_W void cv::goodFeaturesToTrack	(	const Mat &	image,
		CV_OUT vector< Point2f > &	corners,
		int	maxCorners,
		double	qualityLevel,
		double	minDistance,
		const Mat &	mask = Mat(),
		int	blockSize = 3,
		bool	useHarrisDetector = false,
		double	k = 0.04
	)

finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima

CV_EXPORTS_W void cv::grabCut	(	const Mat &	img,
		Mat &	mask,
		Rect	rect,
		Mat &	bgdModel,
		Mat &	fgdModel,
		int	iterCount,
		int	mode = GC_EVAL
	)

segments the image using GrabCut algorithm

CV_EXPORTS_W void cv::groupRectangles	(	vector< Rect > &	rectList,
		CV_OUT vector< int > &	weights,
		int	groupThreshold,
		double	eps = 0.2
	)

CV_EXPORTS_W void cv::groupRectangles	(	vector< Rect > &	rectList,
		int	groupThreshold,
		double	eps = 0.2
	)

CV_EXPORTS_W void cv::hconcat	(	const vector< Mat > &	src,
		CV_OUT Mat &	dst
	)

void cv::hconcat	(	const Mat &	src1,
		const Mat &	src2,
		Mat &	dst
	)

void cv::hconcat	(	const Mat *	src,
		size_t	nsrc,
		Mat &	dst
	)

void cv::HuMoments	(	const Moments &	moments,
		double	hu[7]
	)

computes 7 Hu invariants from the moments

CV_EXPORTS_W void cv::idct	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	flags = 0
	)

performs inverse 1D or 2D Discrete Cosine Transformation

CV_EXPORTS_W void cv::idft	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	flags = 0,
		int	nonzeroRows = 0
	)

performs inverse 1D or 2D Discrete Fourier Transformation

CV_EXPORTS_W Mat cv::imdecode	(	const Mat &	buf,
		int	flags
	)

CV_EXPORTS_W bool cv::imencode	(	const string &	ext,
		const Mat &	img,
		CV_OUT vector< uchar > &	buf,
		const vector< int > &	params = vector< int >()
	)

CV_EXPORTS_W Mat cv::imread	(	const string &	filename,
		int	flags = 1
	)

CV_EXPORTS_W void cv::imshow	(	const string &	winname,
		const Mat &	mat
	)

CV_EXPORTS_W bool cv::imwrite	(	const string &	filename,
		const Mat &	img,
		const vector< int > &	params = vector< int >()
	)

CV_EXPORTS_W Mat cv::initCameraMatrix2D	(	const vector< vector< Point3f > > &	objectPoints,
		const vector< vector< Point2f > > &	imagePoints,
		Size	imageSize,
		double	aspectRatio = 1.
	)

initializes camera matrix from a few 3D points and the corresponding projections.

CV_EXPORTS_W void cv::initUndistortRectifyMap	(	const Mat &	cameraMatrix,
		const Mat &	distCoeffs,
		const Mat &	R,
		const Mat &	newCameraMatrix,
		Size	size,
		int	m1type,
		CV_OUT Mat &	map1,
		CV_OUT Mat &	map2
	)

initializes maps for cv::remap() to correct lens distortion and optionally rectify the image

CV_EXPORTS_W float cv::initWideAngleProjMap	(	const Mat &	cameraMatrix,
		const Mat &	distCoeffs,
		Size	imageSize,
		int	destImageWidth,
		int	m1type,
		CV_OUT Mat &	map1,
		CV_OUT Mat &	map2,
		int	projType = PROJ_SPHERICAL_EQRECT,
		double	alpha = 0
	)

initializes maps for cv::remap() for wide-angle

CV_EXPORTS_W void cv::inpaint	(	const Mat &	src,
		const Mat &	inpaintMask,
		CV_OUT Mat &	dst,
		double	inpaintRange,
		int	flags
	)

restores the damaged image areas using one of the available intpainting algorithms

CV_EXPORTS_W void cv::inRange	(	const Mat &	src,
		const Scalar &	lowerb,
		const Scalar &	upperb,
		CV_OUT Mat &	dst
	)

set mask elements for those array elements which are within the fixed bounding box (dst = lowerb <= src && src < upperb)

CV_EXPORTS_W void cv::inRange	(	const Mat &	src,
		const Mat &	lowerb,
		const Mat &	upperb,
		CV_OUT Mat &	dst
	)

set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb)

void cv::insertImageCOI	(	const Mat &	coiimg,
		CvArr *	arr,
		int	coi = -1
	)

inserts single-channel cv::Mat into a multi-channel CvMat or IplImage

CV_EXPORTS_W void cv::integral	(	const Mat &	src,
		CV_OUT Mat &	sum,
		int	sdepth = -1
	)

computes the integral image

CV_EXPORTS_W double cv::invert	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	flags = DECOMP_LU
	)

computes inverse or pseudo-inverse matrix

CV_EXPORTS_W void cv::invertAffineTransform	(	const Mat &	M,
		CV_OUT Mat &	iM
	)

computes 2x3 affine transformation matrix that is inverse to the specified 2x3 affine transformation.

CV_EXPORTS_W bool cv::isContourConvex

(

const Mat &

contour

)

returns true iff the contour is convex. Does not support contours with self-intersection

CV_EXPORTS_W double cv::kmeans	(	const Mat &	data,
		int	K,
		CV_OUT Mat &	bestLabels,
		TermCriteria	criteria,
		int	attempts,
		int	flags,
		CV_OUT Mat *	centers = 0
	)

clusters the input data using k-Means algorithm

CV_EXPORTS_W void cv::line	(	Mat &	img,
		Point	pt1,
		Point	pt2,
		const Scalar &	color,
		int	thickness = 1,
		int	lineType = 8,
		int	shift = 0
	)

draws the line segment (pt1, pt2) in the image

void cv::loadWindowParameters

(

const string &

windowName

)

CV_EXPORTS_W void cv::log	(	const Mat &	src,
		CV_OUT Mat &	dst
	)

computes natural logarithm of absolute value of each matrix element: dst = log(abs(src))

int cv::LU	(	double *	A,
		int	m,
		double *	b,
		int	n
	)

int cv::LU	(	float *	A,
		int	m,
		float *	b,
		int	n
	)

CV_EXPORTS_W void cv::LUT	(	const Mat &	src,
		const Mat &	lut,
		CV_OUT Mat &	dst
	)

transforms 8-bit unsigned integers using lookup table: dst(i)=lut(src(i))

CV_EXPORTS_W void cv::magnitude	(	const Mat &	x,
		const Mat &	y,
		CV_OUT Mat &	magnitude
	)

computes magnitude (magnitude(i)) of each (x(i), y(i)) vector

CV_EXPORTS_W double cv::Mahalanobis	(	const Mat &	v1,
		const Mat &	v2,
		const Mat &	icovar
	)

computes Mahalanobis distance between two vectors: sqrt((v1-v2)'*icovar*(v1-v2)), where icovar is the inverse covariation matrix

double cv::Mahalonobis	(	const Mat &	v1,
		const Mat &	v2,
		const Mat &	icovar
	)

a synonym for Mahalanobis

CV_EXPORTS_W double cv::matchShapes	(	const Mat &	contour1,
		const Mat &	contour2,
		int	method,
		double	parameter
	)

matches two contours using one of the available algorithms

CV_EXPORTS_W void cv::matchTemplate	(	const Mat &	image,
		const Mat &	templ,
		CV_OUT Mat &	result,
		int	method
	)

computes the proximity map for the raster template and the image where the template is searched for

CV_EXPORTS_W void cv::matMulDeriv	(	const Mat &	A,
		const Mat &	B,
		CV_OUT Mat &	dABdA,
		CV_OUT Mat &	dABdB
	)

computes derivatives of the matrix product w.r.t each of the multiplied matrix coefficients

MatExpr cv::max	(	double	s,
		const Mat &	a
	)

MatExpr cv::max	(	const Mat &	a,
		double	s
	)

MatExpr cv::max	(	const Mat &	a,
		const Mat &	b
	)

CV_EXPORTS_W void cv::max	(	const Mat &	src1,
		double	src2,
		CV_OUT Mat &	dst
	)

computes per-element maximum of array and scalar (dst = max(src1, src2))

CV_EXPORTS_W void cv::max	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst
	)

computes per-element maximum of two arrays (dst = max(src1, src2))

CV_EXPORTS_W Scalar cv::mean	(	const Mat &	src,
		const Mat &mask	CV_WRAP_DEFAULTMat()
	)

computes mean value of selected array elements

Scalar cv::mean

(

const Mat &

src

)

computes mean value of array elements

CV_EXPORTS_W int cv::meanShift	(	const Mat &	probImage,
		CV_IN_OUT Rect &	window,
		TermCriteria	criteria
	)

updates the object tracking window using meanshift algorithm

CV_EXPORTS_W void cv::meanStdDev	(	const Mat &	src,
		CV_OUT Scalar &	mean,
		CV_OUT Scalar &	stddev,
		const Mat &	mask = Mat()
	)

computes mean value and standard deviation of all or selected array elements

CV_EXPORTS_W void cv::medianBlur	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	ksize
	)

smooths the image using median filter.

CV_EXPORTS_W void cv::merge	(	const vector< Mat > &	mv,
		Mat &	dst
	)

makes multi-channel array out of several single-channel arrays

void cv::merge	(	const Mat *	mv,
		size_t	count,
		CV_OUT Mat &	dst
	)

makes multi-channel array out of several single-channel arrays

MatExpr cv::min	(	double	s,
		const Mat &	a
	)

MatExpr cv::min	(	const Mat &	a,
		double	s
	)

MatExpr cv::min	(	const Mat &	a,
		const Mat &	b
	)

CV_EXPORTS_W void cv::min	(	const Mat &	src1,
		double	src2,
		CV_OUT Mat &	dst
	)

computes per-element minimum of array and scalar (dst = min(src1, src2))

CV_EXPORTS_W void cv::min	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst
	)

computes per-element minimum of two arrays (dst = min(src1, src2))

CV_EXPORTS_W RotatedRect cv::minAreaRect

(

const Mat &

points

)

computes the minimal rotated rectangle for a set of points

CV_EXPORTS_W void cv::minEnclosingCircle	(	const Mat &	points,
		Point2f &	center,
		float &	radius
	)

computes the minimal enclosing circle for a set of points

void cv::minMaxIdx	(	const Mat &	src,
		double *	minVal,
		double *	maxVal,
		int *	minIdx = 0,
		int *	maxIdx = 0,
		const Mat &	mask = Mat()
	)

void cv::minMaxLoc	(	const SparseMat &	a,
		double *	minVal,
		double *	maxVal,
		int *	minIdx = 0,
		int *	maxIdx = 0
	)

finds global minimum and maximum sparse array elements and returns their values and their locations

CV_EXPORTS_W void cv::minMaxLoc	(	const Mat &	src,
		CV_OUT double *	minVal,
		CV_OUT double *	maxVal = 0,
		CV_OUT Point *	minLoc = 0,
		CV_OUT Point *	maxLoc = 0,
		const Mat &	mask = Mat()
	)

finds global minimum and maximum array elements and returns their values and their locations

void cv::mixChannels	(	const vector< Mat > &	src,
		vector< Mat > &	dst,
		const int *	fromTo,
		int	npairs
	)

void cv::mixChannels	(	const Mat *	src,
		size_t	nsrcs,
		Mat *	dst,
		size_t	ndsts,
		const int *	fromTo,
		size_t	npairs
	)

copies selected channels from the input arrays to the selected channels of the output arrays

CV_EXPORTS_W Moments cv::moments	(	const Mat &	array,
		bool	binaryImage = false
	)

computes moments of the rasterized shape or a vector of points

CV_EXPORTS_W void cv::morphologyEx	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	op,
		const Mat &	kernel,
		Point	anchor = Point(-1,-1),
		int	iterations = 1,
		int	borderType = BORDER_CONSTANT,
		const Scalar &	borderValue = morphologyDefaultBorderValue()
	)

applies an advanced morphological operation to the image

CV_EXPORTS_W void cv::mulSpectrums	(	const Mat &	a,
		const Mat &	b,
		CV_OUT Mat &	c,
		int	flags,
		bool	conjB = false
	)

computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication

CV_EXPORTS_W void cv::multiply	(	const Mat &	src1,
		const Mat &	src2,
		CV_OUT Mat &	dst,
		double	scale = 1
	)

computes element-wise weighted product of the two arrays (dst = scale*src1*src2)

CV_EXPORTS_W void cv::mulTransposed	(	const Mat &	src,
		CV_OUT Mat &	dst,
		bool	aTa,
		const Mat &	delta = Mat(),
		double	scale = 1,
		int	rtype = -1
	)

multiplies matrix by its transposition from the left or from the right

CV_EXPORTS_W void cv::namedWindow	(	const string &	winname,
		int flags	CV_DEFAULTWINDOW_AUTOSIZE
	)

double cv::norm	(	const SparseMat &	src,
		int	normType
	)

computes norm of a sparse matrix

CV_EXPORTS_W double cv::norm	(	const Mat &	src1,
		const Mat &	src2,
		int	normType,
		const Mat &mask	CV_WRAP_DEFAULTMat()
	)

computes norm of selected part of the difference between two arrays

CV_EXPORTS_W double cv::norm	(	const Mat &	src1,
		int	normType,
		const Mat &mask	CV_WRAP_DEFAULTMat()
	)

computes norm of the selected array part

double cv::norm	(	const Mat &	src1,
		const Mat &	src2,
		int	normType = NORM_L2
	)

computes norm of the difference between two arrays

double cv::norm	(	const Mat &	src1,
		int	normType = NORM_L2
	)

computes norm of array

void cv::normalize	(	const SparseMat &	src,
		SparseMat &	dst,
		double	alpha,
		int	normType
	)

scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values

CV_EXPORTS_W void cv::normalize	(	const Mat &	src,
		CV_OUT Mat &	dst,
		double	alpha = 1,
		double	beta = 0,
		int	norm_type = NORM_L2,
		int	rtype = -1,
		const Mat &	mask = Mat()
	)

scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values

template<typename _Tp >

bool cv::operator!=	(	const SeqIterator< _Tp > &	a,
		const SeqIterator< _Tp > &	b
	)			[inline]

MatExpr cv::operator!=	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator!=	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator!=	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator&	(	const Scalar &	s,
		const Mat &	a
	)

MatExpr cv::operator&	(	const Mat &	a,
		const Scalar &	s
	)

MatExpr cv::operator&	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator*	(	const MatExpr &	e1,
		const MatExpr &	e2
	)

MatExpr cv::operator*	(	double	s,
		const MatExpr &	e
	)

MatExpr cv::operator*	(	const MatExpr &	e,
		double	s
	)

MatExpr cv::operator*	(	const Mat &	m,
		const MatExpr &	e
	)

MatExpr cv::operator*	(	const MatExpr &	e,
		const Mat &	m
	)

MatExpr cv::operator*	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator*	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator*	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator+	(	const MatExpr &	e1,
		const MatExpr &	e2
	)

MatExpr cv::operator+	(	const Scalar &	s,
		const MatExpr &	e
	)

MatExpr cv::operator+	(	const MatExpr &	e,
		const Scalar &	s
	)

MatExpr cv::operator+	(	const Mat &	m,
		const MatExpr &	e
	)

MatExpr cv::operator+	(	const MatExpr &	e,
		const Mat &	m
	)

MatExpr cv::operator+	(	const Scalar &	s,
		const Mat &	a
	)

MatExpr cv::operator+	(	const Mat &	a,
		const Scalar &	s
	)

MatExpr cv::operator+	(	const Mat &	a,
		const Mat &	b
	)

template<typename _Tp >

ptrdiff_t cv::operator-	(	const SeqIterator< _Tp > &	a,
		const SeqIterator< _Tp > &	b
	)			[inline]

ptrdiff_t cv::operator-	(	const MatConstIterator &	b,
		const MatConstIterator &	a
	)

MatExpr cv::operator-

(

const MatExpr &

e

)

MatExpr cv::operator-

(

const Mat &

m

)

MatExpr cv::operator-	(	const MatExpr &	e1,
		const MatExpr &	e2
	)

MatExpr cv::operator-	(	const Scalar &	s,
		const MatExpr &	e
	)

MatExpr cv::operator-	(	const MatExpr &	e,
		const Scalar &	s
	)

MatExpr cv::operator-	(	const Mat &	m,
		const MatExpr &	e
	)

MatExpr cv::operator-	(	const MatExpr &	e,
		const Mat &	m
	)

MatExpr cv::operator-	(	const Scalar &	s,
		const Mat &	a
	)

MatExpr cv::operator-	(	const Mat &	a,
		const Scalar &	s
	)

MatExpr cv::operator-	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator/	(	const MatExpr &	e1,
		const MatExpr &	e2
	)

MatExpr cv::operator/	(	double	s,
		const MatExpr &	e
	)

MatExpr cv::operator/	(	const MatExpr &	e,
		double	s
	)

MatExpr cv::operator/	(	const Mat &	m,
		const MatExpr &	e
	)

MatExpr cv::operator/	(	const MatExpr &	e,
		const Mat &	m
	)

MatExpr cv::operator/	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator/	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator/	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator<	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator<	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator<	(	const Mat &	a,
		const Mat &	b
	)

std::ostream& cv::operator<<	(	std::ostream &	out,
		const TickMeter &	tm
	)

template<typename _Tp >

std::ostream& cv::operator<<	(	std::ostream &	out,
		const Point3_< _Tp > &	p
	)			[inline]

Writes a point to an output stream in Matlab notation

template<typename _Tp >

std::ostream& cv::operator<<	(	std::ostream &	out,
		const Point_< _Tp > &	p
	)			[inline]

Writes a point to an output stream in Matlab notation

FileStorage& cv::operator<<	(	FileStorage &	fs,
		const string &	str
	)

MatExpr cv::operator<=	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator<=	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator<=	(	const Mat &	a,
		const Mat &	b
	)

template<typename _Tp >

bool cv::operator==	(	const SeqIterator< _Tp > &	a,
		const SeqIterator< _Tp > &	b
	)			[inline]

MatExpr cv::operator==	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator==	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator==	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator>	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator>	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator>	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator>=	(	double	s,
		const Mat &	a
	)

MatExpr cv::operator>=	(	const Mat &	a,
		double	s
	)

MatExpr cv::operator>=	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator^	(	const Scalar &	s,
		const Mat &	a
	)

MatExpr cv::operator^	(	const Mat &	a,
		const Scalar &	s
	)

MatExpr cv::operator^	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator|	(	const Scalar &	s,
		const Mat &	a
	)

MatExpr cv::operator|	(	const Mat &	a,
		const Scalar &	s
	)

MatExpr cv::operator|	(	const Mat &	a,
		const Mat &	b
	)

MatExpr cv::operator~

(

const Mat &

m

)

template<typename _Tp , class _EqPredicate >

int cv::partition	(	const vector< _Tp > &	_vec,
		vector< int > &	labels,
		_EqPredicate	predicate = _EqPredicate()
	)			[inline]

CV_EXPORTS_W void cv::perspectiveTransform	(	const Mat &	src,
		CV_OUT Mat &	dst,
		const Mat &	m
	)

performs perspective transformation of each element of multi-channel input matrix

CV_EXPORTS_W void cv::phase	(	const Mat &	x,
		const Mat &	y,
		CV_OUT Mat &	angle,
		bool	angleInDegrees = false
	)

computes angle (angle(i)) of each (x(i), y(i)) vector

CV_EXPORTS_W double cv::pointPolygonTest	(	const Mat &	contour,
		Point2f	pt,
		bool	measureDist
	)

checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary

CV_EXPORTS_W void cv::polarToCart	(	const Mat &	magnitude,
		const Mat &	angle,
		CV_OUT Mat &	x,
		CV_OUT Mat &	y,
		bool	angleInDegrees = false
	)

converts polar coordinates to Cartesian

void cv::polylines	(	Mat &	img,
		const Point **	pts,
		const int *	npts,
		int	ncontours,
		bool	isClosed,
		const Scalar &	color,
		int	thickness = 1,
		int	lineType = 8,
		int	shift = 0
	)

draws one or more polygonal curves

CV_EXPORTS_W void cv::pow	(	const Mat &	src,
		double	power,
		CV_OUT Mat &	dst
	)

raises the input matrix elements to the specified power (b = a**power)

CV_EXPORTS_W void cv::preCornerDetect	(	const Mat &	src,
		CV_OUT Mat &	dst,
		int	ksize,
		int	borderType = BORDER_DEFAULT
	)

computes another complex cornerness criteria at each pixel

template<typename T1 , typename T2 , typename T3 , typename Op >

void cv::process	(	const Mat_< T1 > &	m1,
		const Mat_< T2 > &	m2,
		Mat_< T3 > &	m3,
		Op	op
	)			[inline]

template<typename T1 , typename T2 , typename Op >

void cv::process	(	const Mat_< T1 > &	m1,
		Mat_< T2 > &	m2,
		Op	op
	)			[inline]

CV_EXPORTS_W void cv::projectPoints	(	const Mat &	objectPoints,
		const Mat &	rvec,
		const Mat &	tvec,
		const Mat &	cameraMatrix,
		const Mat &	distCoeffs,
		CV_OUT vector< Point2f > &	imagePoints
	)

projects points from the model coordinate space to the image coordinates. Takes the intrinsic and extrinsic camera parameters into account

CV_EXPORTS_W void cv::putText	(	Mat &	img,
		const string &	text,
		Point	org,
		int	fontFace,
		double	fontScale,
		Scalar	color,
		int	thickness = 1,
		int	linetype = 8,
		bool	bottomLeftOrigin = false