Base class for convolution (or cross-correlation) operator. : More...

#include "cudaarithm.hpp"

Inheritance diagram for cv::cuda::Convolution:

Public Member Functions
virtual void	convolve (InputArray image, InputArray templ, OutputArray result, bool ccorr=false, Stream &stream=Stream::Null())=0
	Computes a convolution (or cross-correlation) of two images. More...

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

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. 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...

Detailed Description

Base class for convolution (or cross-correlation) operator. :

Member Function Documentation

virtual void cv::cuda::Convolution::convolve	(	InputArray	image,
		InputArray	templ,
		OutputArray	result,
		bool	ccorr = `false`,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Computes a convolution (or cross-correlation) of two images.

Parameters

image	Source image. Only CV_32FC1 images are supported for now.
templ	Template image. The size is not greater than the image size. The type is the same as image .
result	Result image. If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.
ccorr	Flags to evaluate cross-correlation instead of convolution.
stream	Stream for the asynchronous version.

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