Class cv::cuda::Convolution#
Base class for convolution (or cross-correlation) operator. :
#include <opencv2/cudaarithm.hpp>Collaboration diagram for cv::cuda::Convolution:
Public Member Functions#
Public Member Functions inherited from cv::Algorithm
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Clears the algorithm state. |
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Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. |
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Reads algorithm parameters from a file storage. |
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Stores algorithm parameters in a file storage. |
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Static Public Member Functions#
Static Public Member Functions inherited from cv::Algorithm
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Loads algorithm from the file. |
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Loads algorithm from a String. |
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Reads algorithm from the file node. |
Additional Inherited Members#
Protected Member Functions inherited from cv::Algorithm
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Detailed Description#
Base class for convolution (or cross-correlation) operator. :
Member Function Documentation#
convolve()#
void cv::cuda::Convolution::convolve(
InputArray image,
InputArray templ,
OutputArray result,
bool ccorr = false,
Stream & stream = Stream::Null() )
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.
Source file#
The documentation for this class was generated from the following file:
opencv2/cudaarithm.hpp