Base class for Canny Edge Detector. More...

#include "cudaimgproc.hpp"

Inheritance diagram for cv::cuda::CannyEdgeDetector:

Collaboration diagram for cv::cuda::CannyEdgeDetector:

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

virtual void	detect (InputArray image, OutputArray edges, Stream &stream=Stream::Null())=0
	Finds edges in an image using the [14] algorithm. More...

virtual void	detect (InputArray dx, InputArray dy, OutputArray edges, Stream &stream=Stream::Null())=0
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

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

virtual int	getAppertureSize () const =0

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

virtual double	getHighThreshold () const =0

virtual bool	getL2Gradient () const =0

virtual double	getLowThreshold () 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	setAppertureSize (int apperture_size)=0

virtual void	setHighThreshold (double high_thresh)=0

virtual void	setL2Gradient (bool L2gradient)=0

virtual void	setLowThreshold (double low_thresh)=0

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

Base class for Canny Edge Detector.

:

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::cuda::CannyEdgeDetector::detect	(	InputArray	image,
		OutputArray	edges,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Finds edges in an image using the [14] algorithm.

Parameters

image	Single-channel 8-bit input image.
edges	Output edge map. It has the same size and type as image.
stream	Stream for the asynchronous version.

virtual void cv::cuda::CannyEdgeDetector::detect	(	InputArray	dx,
		InputArray	dy,
		OutputArray	edges,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

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

Parameters

dx	First derivative of image in the vertical direction. Support only CV_32S type.
dy	First derivative of image in the horizontal direction. Support only CV_32S type.
edges	Output edge map. It has the same size and type as image.
stream	Stream for the asynchronous version.

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::cuda::CannyEdgeDetector::getAppertureSize ( ) const

pure virtual

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::cuda::CannyEdgeDetector::getHighThreshold ( ) const

pure virtual

virtual bool cv::cuda::CannyEdgeDetector::getL2Gradient ( ) const

pure virtual

virtual double cv::cuda::CannyEdgeDetector::getLowThreshold ( ) 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::cuda::CannyEdgeDetector::setAppertureSize ( int apperture_size )

pure virtual

virtual void cv::cuda::CannyEdgeDetector::setHighThreshold ( double high_thresh )

pure virtual

virtual void cv::cuda::CannyEdgeDetector::setL2Gradient ( bool L2gradient )

pure virtual

virtual void cv::cuda::CannyEdgeDetector::setLowThreshold ( double low_thresh )

pure virtual

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:

cudaimgproc/include/opencv2/cudaimgproc.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation