OpenCV 4.11.0-pre
Open Source Computer Vision
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cv::cuda::CannyEdgeDetector Class Referenceabstract

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
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) 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< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (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
dxFirst derivative of image in the vertical direction. Support only CV_32S type.
dyFirst derivative of image in the horizontal direction. Support only CV_32S type.
edgesOutput edge map. It has the same size and type as image.
streamStream 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
imageSingle-channel 8-bit input image.
edgesOutput edge map. It has the same size and type as image.
streamStream 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

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