Maximally stable extremal region extractor [詳解]

#include <features2d.hpp>

cv::Feature2Dを継承しています。

公開メンバ関数
virtual CV_WRAP void	detectRegions (InputArray image, CV_OUT std::vector< std::vector< Point > > &msers, CV_OUT std::vector< Rect > &bboxes)=0
	Detect MSER regions [詳解]

virtual CV_WRAP void	setDelta (int delta)=0

virtual CV_WRAP int	getDelta () const =0

virtual CV_WRAP void	setMinArea (int minArea)=0

virtual CV_WRAP int	getMinArea () const =0

virtual CV_WRAP void	setMaxArea (int maxArea)=0

virtual CV_WRAP int	getMaxArea () const =0

virtual CV_WRAP void	setPass2Only (bool f)=0

virtual CV_WRAP bool	getPass2Only () const =0

virtual CV_WRAP String	getDefaultName () const CV_OVERRIDE

基底クラス cv::Feature2D に属する継承公開メンバ関数
virtual CV_WRAP void	detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant). [詳解]

virtual CV_WRAP void	detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())

virtual CV_WRAP void	compute (InputArray image, CV_OUT CV_IN_OUT 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). [詳解]

virtual CV_WRAP void	compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)

virtual CV_WRAP void	detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)

virtual CV_WRAP int	descriptorSize () const

virtual CV_WRAP int	descriptorType () const

virtual CV_WRAP int	defaultNorm () const

CV_WRAP void	write (const String &fileName) const

CV_WRAP void	read (const String &fileName)

virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage [詳解]

virtual CV_WRAP void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage [詳解]

virtual CV_WRAP bool	empty () const CV_OVERRIDE
	Return true if detector object is empty [詳解]

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

virtual CV_WRAP void	save (const String &filename) const

静的公開メンバ関数
static CV_WRAP 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 [詳解]

基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]

template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

その他の継承メンバ
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

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: [nister2008linear] ; 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: [forssen2007maximally] ; 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

関数詳解

◆ create()

static CV_WRAP 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

Full constructor for MSER detector

引数

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

pure virtual

Detect MSER regions

引数

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

◆ getDefaultName()

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

virtual

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.

cv::Feature2Dを再実装しています。

このクラス詳解は次のファイルから抽出されました:

features2d.hpp

公開メンバ関数

静的公開メンバ関数

その他の継承メンバ

詳解

関数詳解

◆ create()

◆ detectRegions()

◆ getDefaultName()