cv::MSER Class Reference

#include <features2d.hpp>

Inheritance diagram for cv::MSER:

List of all members.

Public Member Functions
	CV_WRAP_AS (detect) void operator()(const Mat &image
	the operator that extracts the MSERs from the image or the specific part of it
CV_WRAP	MSER (int _delta, int _min_area, int _max_area, double _max_variation, double _min_diversity, int _max_evolution, double _area_threshold, double _min_margin, int _edge_blur_size)
	the full constructor
CV_WRAP	MSER ()
	the default constructor
Public Attributes
CV_OUT vector< vector< Point > > const Mat &mask	const
CV_OUT vector< vector< Point > > &	msers

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Detailed Description

Maximal Stable Extremal Regions class.

The class implements MSER algorithm introduced by J. Matas. Unlike SIFT, SURF and many other detectors in OpenCV, this is salient region detector, not the salient point detector.

It returns the regions, each of those is encoded as a contour.

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Constructor & Destructor Documentation

CV_WRAP cv::MSER::MSER

(

)

the default constructor

CV_WRAP cv::MSER::MSER	(	int	_delta,
		int	_min_area,
		int	_max_area,
		double	_max_variation,
		double	_min_diversity,
		int	_max_evolution,
		double	_area_threshold,
		double	_min_margin,
		int	_edge_blur_size
	)

the full constructor

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Member Function Documentation

cv::MSER::CV_WRAP_AS

(

detect

)

const

the operator that extracts the MSERs from the image or the specific part of it

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Member Data Documentation

CV_OUT vector<vector<Point> > const Mat& mask cv::MSER::const

CV_OUT vector<vector<Point> >& cv::MSER::msers

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The documentation for this class was generated from the following file:

• /home/grier/opencv/opencv/modules/features2d/include/opencv2/features2d/features2d.hpp