Merge pull request #187 from vpisarev:doc_fixes_2.4
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@ -208,7 +208,7 @@ Retina::getMagno
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Retina::getParameters
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Retina::getParameters
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+++++++++++++++++++++
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+++++++++++++++++++++
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.. ocv:function:: struct Retina::RetinaParameters Retina::getParameters()
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.. ocv:function:: Retina::RetinaParameters Retina::getParameters()
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Retrieve the current parameters values in a *Retina::RetinaParameters* structure
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Retrieve the current parameters values in a *Retina::RetinaParameters* structure
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@ -323,7 +323,8 @@ Retina::RetinaParameters
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========================
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========================
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.. ocv:struct:: Retina::RetinaParameters
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.. ocv:struct:: Retina::RetinaParameters
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This structure merges all the parameters that can be adjusted threw the **Retina::setup()**, **Retina::setupOPLandIPLParvoChannel** and **Retina::setupIPLMagnoChannel** setup methods
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This structure merges all the parameters that can be adjusted threw the **Retina::setup()**, **Retina::setupOPLandIPLParvoChannel** and **Retina::setupIPLMagnoChannel** setup methods
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Parameters structure for better clarity, check explenations on the comments of methods : setupOPLandIPLParvoChannel and setupIPLMagnoChannel. ::
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Parameters structure for better clarity, check explenations on the comments of methods : setupOPLandIPLParvoChannel and setupIPLMagnoChannel. ::
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class RetinaParameters{
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class RetinaParameters{
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@ -873,15 +873,16 @@ gpu::FastNonLocalMeansDenoising
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-------------------------------
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-------------------------------
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.. ocv:class:: gpu::FastNonLocalMeansDenoising
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.. ocv:class:: gpu::FastNonLocalMeansDenoising
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class FastNonLocalMeansDenoising
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::
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{
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public:
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//! Simple method, recommended for grayscale images (though it supports multichannel images)
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void simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
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//! Processes luminance and color components separatelly
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class FastNonLocalMeansDenoising
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void labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
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{
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};
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public:
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//! Simple method, recommended for grayscale images (though it supports multichannel images)
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void simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
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//! Processes luminance and color components separatelly
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void labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null())
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};
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The class implements fast approximate Non Local Means Denoising algorithm.
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The class implements fast approximate Non Local Means Denoising algorithm.
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