cv::cuda::CannyEdgeDetector Class Reference

Base class for Canny Edge Detector. : More...

#include <opencv2/cudaimgproc.hpp>

Collaboration diagram for cv::cuda::CannyEdgeDetector:

Public Member Functions
virtual void	detect (InputArray dx, InputArray dy, OutputArray edges, Stream &stream=Stream::Null())=0
virtual void	detect (InputArray image, OutputArray edges, Stream &stream=Stream::Null())=0
	Finds edges in an image using the [48] algorithm.
virtual int	getAppertureSize () const =0
virtual double	getHighThreshold () const =0
virtual bool	getL2Gradient () const =0
virtual double	getLowThreshold () const =0
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
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Additional Inherited Members
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.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Base class for Canny Edge Detector. :

Member Function Documentation

detect() [1/2]

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.

detect() [2/2]

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

pure virtual

Finds edges in an image using the [48] 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.

getAppertureSize()

virtual int cv::cuda::CannyEdgeDetector::getAppertureSize ( ) const

pure virtual

getHighThreshold()

virtual double cv::cuda::CannyEdgeDetector::getHighThreshold ( ) const

pure virtual

getL2Gradient()

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

pure virtual

getLowThreshold()

virtual double cv::cuda::CannyEdgeDetector::getLowThreshold ( ) const

pure virtual

setAppertureSize()

virtual void cv::cuda::CannyEdgeDetector::setAppertureSize ( int apperture_size )

pure virtual

setHighThreshold()

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

pure virtual

setL2Gradient()

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

pure virtual

setLowThreshold()

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

pure virtual

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

• opencv2/cudaimgproc.hpp