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Merge pull request #7838 from khnaba:morphology-32f
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@ -250,7 +250,7 @@ CV_EXPORTS Ptr<Filter> createGaussianFilter(int srcType, int dstType, Size ksize
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- **MORPH_GRADIENT** morphological gradient
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- **MORPH_TOPHAT** "top hat"
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- **MORPH_BLACKHAT** "black hat"
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@param srcType Input/output image type. Only CV_8UC1 and CV_8UC4 are supported.
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@param srcType Input/output image type. Only CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4 are supported.
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@param kernel 2D 8-bit structuring element for the morphological operation.
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@param anchor Anchor position within the structuring element. Negative values mean that the anchor
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is at the center.
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@ -525,14 +525,17 @@ namespace
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void apply(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
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private:
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typedef NppStatus (*nppMorfFilter_t)(const Npp8u* pSrc, Npp32s nSrcStep, Npp8u* pDst, Npp32s nDstStep, NppiSize oSizeROI,
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typedef NppStatus (*nppMorfFilter8u_t)(const Npp8u* pSrc, Npp32s nSrcStep, Npp8u* pDst, Npp32s nDstStep, NppiSize oSizeROI,
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const Npp8u* pMask, NppiSize oMaskSize, NppiPoint oAnchor);
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typedef NppStatus (*nppMorfFilter32f_t)(const Npp32f* pSrc, Npp32s nSrcStep, Npp32f* pDst, Npp32s nDstStep, NppiSize oSizeROI,
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const Npp8u* pMask, NppiSize oMaskSize, NppiPoint oAnchor);
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int type_;
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GpuMat kernel_;
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Point anchor_;
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int iters_;
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nppMorfFilter_t func_;
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nppMorfFilter8u_t func8u_;
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nppMorfFilter32f_t func32f_;
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GpuMat srcBorder_;
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GpuMat buf_;
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@ -541,14 +544,19 @@ namespace
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MorphologyFilter::MorphologyFilter(int op, int srcType, InputArray _kernel, Point anchor, int iterations) :
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type_(srcType), anchor_(anchor), iters_(iterations)
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{
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static const nppMorfFilter_t funcs[2][5] =
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static const nppMorfFilter8u_t funcs8u[2][5] =
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{
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{0, nppiErode_8u_C1R, 0, 0, nppiErode_8u_C4R },
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{0, nppiDilate_8u_C1R, 0, 0, nppiDilate_8u_C4R }
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};
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static const nppMorfFilter32f_t funcs32f[2][5] =
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{
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{0, nppiErode_32f_C1R, 0, 0, nppiErode_32f_C4R },
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{0, nppiDilate_32f_C1R, 0, 0, nppiDilate_32f_C4R }
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};
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CV_Assert( op == MORPH_ERODE || op == MORPH_DILATE );
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CV_Assert( srcType == CV_8UC1 || srcType == CV_8UC4 );
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CV_Assert( srcType == CV_8UC1 || srcType == CV_8UC4 || srcType == CV_32FC1 || srcType == CV_32FC4 );
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Mat kernel = _kernel.getMat();
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Size ksize = !kernel.empty() ? _kernel.size() : Size(3, 3);
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@ -579,7 +587,14 @@ namespace
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kernel_ = cuda::createContinuous(kernel.size(), CV_8UC1);
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kernel_.upload(kernel8U);
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func_ = funcs[op][CV_MAT_CN(srcType)];
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if(srcType == CV_8UC1 || srcType == CV_8UC4)
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{
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func8u_ = funcs8u[op][CV_MAT_CN(srcType)];
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}
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else if(srcType == CV_32FC1 || srcType == CV_32FC4)
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{
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func32f_ = funcs32f[op][CV_MAT_CN(srcType)];
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}
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}
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void MorphologyFilter::apply(InputArray _src, OutputArray _dst, Stream& _stream)
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@ -618,16 +633,32 @@ namespace
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oAnchor.x = anchor_.x;
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oAnchor.y = anchor_.y;
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nppSafeCall( func_(srcRoi.ptr<Npp8u>(), static_cast<int>(srcRoi.step), dst.ptr<Npp8u>(), static_cast<int>(dst.step),
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if (type_ == CV_8UC1 || type_ == CV_8UC4)
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{
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nppSafeCall( func8u_(srcRoi.ptr<Npp8u>(), static_cast<int>(srcRoi.step), dst.ptr<Npp8u>(), static_cast<int>(dst.step),
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oSizeROI, kernel_.ptr<Npp8u>(), oMaskSize, oAnchor) );
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for(int i = 1; i < iters_; ++i)
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{
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dst.copyTo(bufRoi, _stream);
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nppSafeCall( func_(bufRoi.ptr<Npp8u>(), static_cast<int>(bufRoi.step), dst.ptr<Npp8u>(), static_cast<int>(dst.step),
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nppSafeCall( func8u_(bufRoi.ptr<Npp8u>(), static_cast<int>(bufRoi.step), dst.ptr<Npp8u>(), static_cast<int>(dst.step),
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oSizeROI, kernel_.ptr<Npp8u>(), oMaskSize, oAnchor) );
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}
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}
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else if (type_ == CV_32FC1 || type_ == CV_32FC4)
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{
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nppSafeCall( func32f_(srcRoi.ptr<Npp32f>(), static_cast<int>(srcRoi.step), dst.ptr<Npp32f>(), static_cast<int>(dst.step),
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oSizeROI, kernel_.ptr<Npp8u>(), oMaskSize, oAnchor) );
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for(int i = 1; i < iters_; ++i)
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{
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dst.copyTo(bufRoi, _stream);
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nppSafeCall( func32f_(bufRoi.ptr<Npp32f>(), static_cast<int>(bufRoi.step), dst.ptr<Npp32f>(), static_cast<int>(dst.step),
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oSizeROI, kernel_.ptr<Npp8u>(), oMaskSize, oAnchor) );
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}
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}
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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