finds arbitrary template in the grayscale image using Generalized Hough Transform More...

#include <opencv2/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...

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. 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

finds arbitrary template in the grayscale image using Generalized Hough Transform

Detects position only without translation and rotation [5] .

Member Function Documentation

◆ clear()

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

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

◆ detect() [1/2]

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

pure virtualinherited

find template on image

◆ detect() [2/2]

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

pure virtualinherited

◆ empty()

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, and cv::BaseCascadeClassifier.

◆ getCannyHighThresh()

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

pure virtualinherited

◆ getCannyLowThresh()

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

pure virtualinherited

◆ getDefaultName()

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.

Reimplemented in cv::AKAZE, cv::KAZE, cv::SimpleBlobDetector, cv::GFTTDetector, cv::AgastFeatureDetector, cv::FastFeatureDetector, cv::MSER, cv::ORB, cv::BRISK, and cv::Feature2D.

◆ getDp()

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

pure virtualinherited

◆ getLevels()

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

pure virtual

◆ getMaxBufferSize()

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

pure virtualinherited

◆ getMinDist()

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

pure virtualinherited

◆ getVotesThreshold()

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

pure virtual

◆ load()

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_Assert, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::isOpened(), and cv::FileStorage::READ.

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◆ loadFromString()

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::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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◆ read() [1/2]

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.

◆ read() [2/2]

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)

◆ save()

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).

◆ setCannyHighThresh()

virtual void cv::GeneralizedHough::setCannyHighThresh ( int cannyHighThresh )

pure virtualinherited

Canny high threshold.

◆ setCannyLowThresh()

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

pure virtualinherited

Canny low threshold.

◆ setDp()

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

pure virtualinherited

Inverse ratio of the accumulator resolution to the image resolution.

◆ setLevels()

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

pure virtual

R-Table levels.

◆ setMaxBufferSize()

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

pure virtualinherited

Maximal size of inner buffers.

◆ setMinDist()

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

pure virtualinherited

Minimum distance between the centers of the detected objects.

◆ setTemplate() [1/2]

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

pure virtualinherited

set template to search

◆ setTemplate() [2/2]

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

pure virtualinherited

◆ setVotesThreshold()

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.

◆ write() [1/2]

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.

References CV_WRAP.

Referenced by cv::Feature2D::write(), and cv::DescriptorMatcher::write().

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◆ write() [2/2]

void cv::Algorithm::write	(	const Ptr< FileStorage > &	fs,
		const String &	name = `String()`
	)		const

inherited

simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

◆ writeFormat()

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

protectedinherited

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

opencv2/imgproc.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation

◆ clear()

◆ detect() [1/2]

◆ detect() [2/2]

◆ empty()

◆ getCannyHighThresh()

◆ getCannyLowThresh()

◆ getDefaultName()

◆ getDp()

◆ getLevels()

◆ getMaxBufferSize()

◆ getMinDist()

◆ getVotesThreshold()

◆ load()

◆ loadFromString()

◆ read() [1/2]

◆ read() [2/2]

◆ save()

◆ setCannyHighThresh()

◆ setCannyLowThresh()

◆ setDp()

◆ setLevels()

◆ setMaxBufferSize()

◆ setMinDist()

◆ setTemplate() [1/2]

◆ setTemplate() [2/2]

◆ setVotesThreshold()

◆ write() [1/2]

◆ write() [2/2]

◆ writeFormat()