cv::MSER Class Reference

Maximally stable extremal region extractor. More...

#include <opencv2/features.hpp>

Collaboration diagram for cv::MSER:

Public Member Functions
virtual void	detectRegions (InputArray image, std::vector< std::vector< Point > > &msers, std::vector< Rect > &bboxes)=0
	Detect MSER regions.
virtual double	getAreaThreshold () const =0
virtual String	getDefaultName () const CV_OVERRIDE
virtual int	getDelta () const =0
virtual int	getEdgeBlurSize () const =0
virtual int	getMaxArea () const =0
virtual int	getMaxEvolution () const =0
virtual double	getMaxVariation () const =0
virtual int	getMinArea () const =0
virtual double	getMinDiversity () const =0
virtual double	getMinMargin () const =0
virtual bool	getPass2Only () const =0
virtual void	setAreaThreshold (double areaThreshold)=0
virtual void	setDelta (int delta)=0
virtual void	setEdgeBlurSize (int edge_blur_size)=0
virtual void	setMaxArea (int maxArea)=0
virtual void	setMaxEvolution (int maxEvolution)=0
virtual void	setMaxVariation (double maxVariation)=0
virtual void	setMinArea (int minArea)=0
virtual void	setMinDiversity (double minDiversity)=0
virtual void	setMinMargin (double min_margin)=0
virtual void	setPass2Only (bool f)=0
Public Member Functions inherited from cv::Feature2D
virtual	~Feature2D ()
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
virtual void	compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
virtual int	defaultNorm () const
virtual int	descriptorSize () const
virtual int	descriptorType () const
virtual void	detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant).
virtual void	detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
virtual bool	empty () const CV_OVERRIDE
	Return true if detector object is empty.
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	read (const String &fileName)
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual void	save (const String &filename) const
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< MSER >	create (int delta=5, int min_area=60, int max_area=14400, double max_variation=0.25, double min_diversity=.2, int max_evolution=200, double area_threshold=1.01, double min_margin=0.003, int edge_blur_size=5)
	Full constructor for MSER detector.
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Maximally stable extremal region extractor.

The class encapsulates all the parameters of the MSER extraction algorithm (see wiki article).

• there are two different implementation of MSER: one for grey image, one for color image
• the grey image algorithm is taken from: [208] ; the paper claims to be faster than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
• the color image algorithm is taken from: [95] ; it should be much slower than grey image method ( 3~4 times )
• (Python) A complete example showing the use of the MSER detector can be found at samples/python/mser.py

Member Function Documentation

create()

static Ptr< MSER > cv::MSER::create ( int delta = 5, int min_area = 60, int max_area = 14400, double max_variation = 0.25, double min_diversity = .2, int max_evolution = 200, double area_threshold = 1.01, double min_margin = 0.003, int edge_blur_size = 5 )

static

Python:
	cv.MSER.create(	[, delta[, min_area[, max_area[, max_variation[, min_diversity[, max_evolution[, area_threshold[, min_margin[, edge_blur_size]]]]]]]]]	) ->	retval
	cv.MSER_create(	[, delta[, min_area[, max_area[, max_variation[, min_diversity[, max_evolution[, area_threshold[, min_margin[, edge_blur_size]]]]]]]]]	) ->	retval

Full constructor for MSER detector.

Parameters

delta	it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
min_area	prune the area which smaller than minArea
max_area	prune the area which bigger than maxArea
max_variation	prune the area have similar size to its children
min_diversity	for color image, trace back to cut off mser with diversity less than min_diversity
max_evolution	for color image, the evolution steps
area_threshold	for color image, the area threshold to cause re-initialize
min_margin	for color image, ignore too small margin
edge_blur_size	for color image, the aperture size for edge blur

detectRegions()

virtual void cv::MSER::detectRegions ( InputArray image, std::vector< std::vector< Point > > & msers, std::vector< Rect > & bboxes )

pure virtual

Python:
	cv.MSER.detectRegions(	image	) ->	msers, bboxes

Detect MSER regions.

Parameters

image	input image (8UC1, 8UC3 or 8UC4, must be greater or equal than 3x3)
msers	resulting list of point sets
bboxes	resulting bounding boxes

getAreaThreshold()

virtual double cv::MSER::getAreaThreshold ( ) const

pure virtual

Python:
	cv.MSER.getAreaThreshold(		) ->	retval

getDefaultName()

virtual String cv::MSER::getDefaultName ( ) const

virtual

Python:
	cv.MSER.getDefaultName(		) ->	retval

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented from cv::Feature2D.

getDelta()

virtual int cv::MSER::getDelta ( ) const

pure virtual

Python:
	cv.MSER.getDelta(		) ->	retval

getEdgeBlurSize()

virtual int cv::MSER::getEdgeBlurSize ( ) const

pure virtual

Python:
	cv.MSER.getEdgeBlurSize(		) ->	retval

getMaxArea()

virtual int cv::MSER::getMaxArea ( ) const

pure virtual

Python:
	cv.MSER.getMaxArea(		) ->	retval

getMaxEvolution()

virtual int cv::MSER::getMaxEvolution ( ) const

pure virtual

Python:
	cv.MSER.getMaxEvolution(		) ->	retval

getMaxVariation()

virtual double cv::MSER::getMaxVariation ( ) const

pure virtual

Python:
	cv.MSER.getMaxVariation(		) ->	retval

getMinArea()

virtual int cv::MSER::getMinArea ( ) const

pure virtual

Python:
	cv.MSER.getMinArea(		) ->	retval

getMinDiversity()

virtual double cv::MSER::getMinDiversity ( ) const

pure virtual

Python:
	cv.MSER.getMinDiversity(		) ->	retval

getMinMargin()

virtual double cv::MSER::getMinMargin ( ) const

pure virtual

Python:
	cv.MSER.getMinMargin(		) ->	retval

getPass2Only()

virtual bool cv::MSER::getPass2Only ( ) const

pure virtual

Python:
	cv.MSER.getPass2Only(		) ->	retval

setAreaThreshold()

virtual void cv::MSER::setAreaThreshold ( double areaThreshold )

pure virtual

Python:
	cv.MSER.setAreaThreshold(	areaThreshold	) ->	None

setDelta()

virtual void cv::MSER::setDelta ( int delta )

pure virtual

Python:
	cv.MSER.setDelta(	delta	) ->	None

setEdgeBlurSize()

virtual void cv::MSER::setEdgeBlurSize ( int edge_blur_size )

pure virtual

Python:
	cv.MSER.setEdgeBlurSize(	edge_blur_size	) ->	None

setMaxArea()

virtual void cv::MSER::setMaxArea ( int maxArea )

pure virtual

Python:
	cv.MSER.setMaxArea(	maxArea	) ->	None

setMaxEvolution()

virtual void cv::MSER::setMaxEvolution ( int maxEvolution )

pure virtual

Python:
	cv.MSER.setMaxEvolution(	maxEvolution	) ->	None

setMaxVariation()

virtual void cv::MSER::setMaxVariation ( double maxVariation )

pure virtual

Python:
	cv.MSER.setMaxVariation(	maxVariation	) ->	None

setMinArea()

virtual void cv::MSER::setMinArea ( int minArea )

pure virtual

Python:
	cv.MSER.setMinArea(	minArea	) ->	None

setMinDiversity()

virtual void cv::MSER::setMinDiversity ( double minDiversity )

pure virtual

Python:
	cv.MSER.setMinDiversity(	minDiversity	) ->	None

setMinMargin()

virtual void cv::MSER::setMinMargin ( double min_margin )

pure virtual

Python:
	cv.MSER.setMinMargin(	min_margin	) ->	None

setPass2Only()

virtual void cv::MSER::setPass2Only ( bool f )

pure virtual

Python:
	cv.MSER.setPass2Only(	f	) ->	None

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

• opencv2/features.hpp