A simple Hausdorff distance measure between shapes defined by contours. More...

#include "shape_distance.hpp"

Inheritance diagram for cv::HausdorffDistanceExtractor:

Collaboration diagram for cv::HausdorffDistanceExtractor:

Public Member Functions
virtual void	clear ()
	Clears the algorithm state. More...

virtual float	computeDistance (InputArray contour1, InputArray contour2)=0
	Compute the shape distance between two shapes defined by its contours. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...

virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...

virtual int	getDistanceFlag () const =0

virtual float	getRankProportion () const =0

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...

virtual void	setDistanceFlag (int distanceFlag)=0
	Set the norm used to compute the Hausdorff value between two shapes. More...

virtual void	setRankProportion (float rankProportion)=0
	This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance. More...

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

Static Public Member Functions
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...

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

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Detailed Description

A simple Hausdorff distance measure between shapes defined by contours.

according to the paper "Comparing Images using the Hausdorff distance." by D.P. Huttenlocher, G.A. Klanderman, and W.J. Rucklidge. (PAMI 1993). :

Member Function Documentation

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::cuda::DescriptorMatcher.

virtual float cv::ShapeDistanceExtractor::computeDistance	(	InputArray	contour1,
		InputArray	contour2
	)

pure virtualinherited

Compute the shape distance between two shapes defined by its contours.

Parameters

contour1	Contour defining first shape.
contour2	Contour defining second shape.

virtual bool cv::Algorithm::empty ( ) const

inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, cv::BaseCascadeClassifier, and cv::cuda::DescriptorMatcher.

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

virtualinherited

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.

virtual int cv::HausdorffDistanceExtractor::getDistanceFlag ( ) const

pure virtual

virtual float cv::HausdorffDistanceExtractor::getRankProportion ( ) const

pure virtual

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load	(	const String &	filename,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), and cv::FileStorage::READ.

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template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString	(	const String &	strModel,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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virtual void cv::Algorithm::read ( const FileNode & fn )

inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::read ( const FileNode & fn )

inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);

Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

References cv::Ptr< T >::empty().

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virtual void cv::Algorithm::save ( const String & filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

virtual void cv::HausdorffDistanceExtractor::setDistanceFlag ( int distanceFlag )

pure virtual

Set the norm used to compute the Hausdorff value between two shapes.

It can be L1 or L2 norm.

Parameters

distanceFlag Flag indicating which norm is used to compute the Hausdorff distance (NORM_L1, NORM_L2).

virtual void cv::HausdorffDistanceExtractor::setRankProportion ( float rankProportion )

pure virtual

This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance.

Experimentally had been shown that 0.6 is a good value to compare shapes.

Parameters

rankProportion fractional value (between 0 and 1).

virtual void cv::Algorithm::write ( FileStorage & fs ) const

inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

void cv::Algorithm::writeFormat ( FileStorage & fs ) const

protectedinherited

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

shape/include/opencv2/shape/shape_distance.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation