Ballard, D.H. More...

#include "imgproc.hpp"

Inheritance diagram for cv::GeneralizedHoughBallard:

Collaboration diagram for cv::GeneralizedHoughBallard:

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

virtual void	detect (InputArray image, OutputArray positions, OutputArray votes=noArray())=0
	find template on image More...

virtual void	detect (InputArray edges, InputArray dx, InputArray dy, OutputArray positions, OutputArray votes=noArray())=0

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

virtual int	getCannyHighThresh () const =0

virtual int	getCannyLowThresh () const =0

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

virtual double	getDp () const =0

virtual int	getLevels () const =0

virtual int	getMaxBufferSize () const =0

virtual double	getMinDist () const =0

virtual int	getVotesThreshold () 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	setCannyHighThresh (int cannyHighThresh)=0
	Canny high threshold. More...

virtual void	setCannyLowThresh (int cannyLowThresh)=0
	Canny low threshold. More...

virtual void	setDp (double dp)=0
	Inverse ratio of the accumulator resolution to the image resolution. More...

virtual void	setLevels (int levels)=0
	R-Table levels. More...

virtual void	setMaxBufferSize (int maxBufferSize)=0
	Maximal size of inner buffers. More...

virtual void	setMinDist (double minDist)=0
	Minimum distance between the centers of the detected objects. More...

virtual void	setTemplate (InputArray templ, Point templCenter=Point(-1,-1))=0
	set template to search More...

virtual void	setTemplate (InputArray edges, InputArray dx, InputArray dy, Point templCenter=Point(-1,-1))=0

virtual void	setVotesThreshold (int votesThreshold)=0
	The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected. 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

Ballard, D.H.

(1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122. Detects position only without traslation and rotation

Member Function Documentation

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

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

virtual void cv::GeneralizedHough::detect	(	InputArray	image,
		OutputArray	positions,
		OutputArray	votes = `noArray()`
	)

pure virtualinherited

find template on image

virtual void cv::GeneralizedHough::detect	(	InputArray	edges,
		InputArray	dx,
		InputArray	dy,
		OutputArray	positions,
		OutputArray	votes = `noArray()`
	)

pure virtualinherited

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 int cv::GeneralizedHough::getCannyHighThresh ( ) const

pure virtualinherited

virtual int cv::GeneralizedHough::getCannyLowThresh ( ) const

pure virtualinherited

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 double cv::GeneralizedHough::getDp ( ) const

pure virtualinherited

virtual int cv::GeneralizedHoughBallard::getLevels ( ) const

pure virtual

virtual int cv::GeneralizedHough::getMaxBufferSize ( ) const

pure virtualinherited

virtual double cv::GeneralizedHough::getMinDist ( ) const

pure virtualinherited

virtual int cv::GeneralizedHoughBallard::getVotesThreshold ( ) 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::GeneralizedHough::setCannyHighThresh ( int cannyHighThresh )

pure virtualinherited

Canny high threshold.

virtual void cv::GeneralizedHough::setCannyLowThresh ( int cannyLowThresh )

pure virtualinherited

Canny low threshold.

virtual void cv::GeneralizedHough::setDp ( double dp )

pure virtualinherited

Inverse ratio of the accumulator resolution to the image resolution.

virtual void cv::GeneralizedHoughBallard::setLevels ( int levels )

pure virtual

R-Table levels.

virtual void cv::GeneralizedHough::setMaxBufferSize ( int maxBufferSize )

pure virtualinherited

Maximal size of inner buffers.

virtual void cv::GeneralizedHough::setMinDist ( double minDist )

pure virtualinherited

Minimum distance between the centers of the detected objects.

virtual void cv::GeneralizedHough::setTemplate	(	InputArray	templ,
		Point	templCenter = `Point(-1,-1)`
	)

pure virtualinherited

set template to search

virtual void cv::GeneralizedHough::setTemplate	(	InputArray	edges,
		InputArray	dx,
		InputArray	dy,
		Point	templCenter = `Point(-1,-1)`
	)

pure virtualinherited

virtual void cv::GeneralizedHoughBallard::setVotesThreshold ( int votesThreshold )

pure virtual

The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.

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:

imgproc/include/opencv2/imgproc.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation