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Added references to GPU median filtering algorithm

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This commit is contained in:
Oded Green
2020-04-17 08:40:49 -04:00
parent 2a293da61b
commit 1d8b6423f4
2 changed files with 10 additions and 1 deletions
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6
modules/cudafilters/include/opencv2/cudafilters.hpp
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@@ -322,7 +322,11 @@ CV_EXPORTS_W Ptr<Filter> createColumnSumFilter(int srcType, int dstType, int ksi
@param windowSize Size of the kernerl used for the filtering. Uses a (windowSize x windowSize) filter. @param windowSize Size of the kernerl used for the filtering. Uses a (windowSize x windowSize) filter.
@param partition Specifies the parallel granularity of the workload. This parameter should be used GPU experts when optimizing performance. @param partition Specifies the parallel granularity of the workload. This parameter should be used GPU experts when optimizing performance.
Outputs an image that has been filtered using median-filtering formulation. Outputs an image that has been filtered using a median-filtering formulation.
Details on this algorithm can be found in:
Green, O., 2017. "Efficient scalable median filtering using histogram-based operations",
IEEE Transactions on Image Processing, 27(5), pp.2217-2228.
*/ */
CV_EXPORTS_W Ptr<Filter> createMedianFilter(int srcType, int windowSize, int partition = 128); CV_EXPORTS_W Ptr<Filter> createMedianFilter(int srcType, int windowSize, int partition = 128);

5
modules/cudafilters/src/cuda/median_filter.cu
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@@ -40,6 +40,11 @@
// //
//M*/ //M*/
// Details on this algorithm can be found in:
// Green, O., 2017. "Efficient scalable median filtering using histogram-based operations",
// IEEE Transactions on Image Processing, 27(5), pp.2217-2228.
#if !defined CUDA_DISABLER #if !defined CUDA_DISABLER
#include "opencv2/core/cuda/common.hpp" #include "opencv2/core/cuda/common.hpp"