cv::xfeatures2d::TBMR Class Reference

Class implementing the Tree Based Morse Regions (TBMR) as described in [308] extended with scaled extraction ability. More...

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::TBMR:

Public Member Functions
String	getDefaultName () const CV_OVERRIDE
virtual float	getMaxAreaRelative () const =0
virtual int	getMinArea () const =0
virtual int	getNScales () const =0
virtual float	getScaleFactor () const =0
virtual void	setMaxAreaRelative (float maxArea)=0
virtual void	setMinArea (int minArea)=0
virtual void	setNScales (int n_scales)=0
virtual void	setScaleFactor (float scale_factor)=0
Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D
virtual void	detect (InputArray image, std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0
	Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.
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< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
	Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
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 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< TBMR >	create (int min_area=60, float max_area_relative=0.01f, float scale_factor=1.25f, int n_scales=-1)
Static Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector)
	Creates an instance where keypoint detector and descriptor extractor are identical.
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
	Creates an instance wrapping the given keypoint detector and descriptor extractor.
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

Class implementing the Tree Based Morse Regions (TBMR) as described in [308] extended with scaled extraction ability.

Parameters

min_area	prune areas smaller than minArea
max_area_relative	prune areas bigger than maxArea = max_area_relative * input_image_size
scale_factor	scale factor for scaled extraction.
n_scales	number of applications of the scale factor (octaves).

Note

This algorithm is based on Component Tree (Min/Max) as well as MSER but uses a Morse-theory approach to extract features.

Features are ellipses (similar to MSER, however a MSER feature can never be a TBMR feature and vice versa).

Member Function Documentation

create()

static Ptr< TBMR > cv::xfeatures2d::TBMR::create ( int min_area = 60, float max_area_relative = 0.01f, float scale_factor = 1.25f, int n_scales = -1 )

static

Python:
	cv.xfeatures2d.TBMR.create(	[, min_area[, max_area_relative[, scale_factor[, n_scales]]]]	) ->	retval
	cv.xfeatures2d.TBMR_create(	[, min_area[, max_area_relative[, scale_factor[, n_scales]]]]	) ->	retval

getDefaultName()

String cv::xfeatures2d::TBMR::getDefaultName ( ) const

virtual

Python:
	cv.xfeatures2d.TBMR.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.

getMaxAreaRelative()

virtual float cv::xfeatures2d::TBMR::getMaxAreaRelative ( ) const

pure virtual

Python:
	cv.xfeatures2d.TBMR.getMaxAreaRelative(		) ->	retval

getMinArea()

virtual int cv::xfeatures2d::TBMR::getMinArea ( ) const

pure virtual

Python:
	cv.xfeatures2d.TBMR.getMinArea(		) ->	retval

getNScales()

virtual int cv::xfeatures2d::TBMR::getNScales ( ) const

pure virtual

Python:
	cv.xfeatures2d.TBMR.getNScales(		) ->	retval

getScaleFactor()

virtual float cv::xfeatures2d::TBMR::getScaleFactor ( ) const

pure virtual

Python:
	cv.xfeatures2d.TBMR.getScaleFactor(		) ->	retval

setMaxAreaRelative()

virtual void cv::xfeatures2d::TBMR::setMaxAreaRelative ( float maxArea )

pure virtual

Python:
	cv.xfeatures2d.TBMR.setMaxAreaRelative(	maxArea	) ->	None

setMinArea()

virtual void cv::xfeatures2d::TBMR::setMinArea ( int minArea )

pure virtual

Python:
	cv.xfeatures2d.TBMR.setMinArea(	minArea	) ->	None

setNScales()

virtual void cv::xfeatures2d::TBMR::setNScales ( int n_scales )

pure virtual

Python:
	cv.xfeatures2d.TBMR.setNScales(	n_scales	) ->	None

setScaleFactor()

virtual void cv::xfeatures2d::TBMR::setScaleFactor ( float scale_factor )

pure virtual

Python:
	cv.xfeatures2d.TBMR.setScaleFactor(	scale_factor	) ->	None

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

• opencv2/xfeatures2d.hpp