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Searched refs:filter2D (Results 1 – 25 of 37) sorted by relevance

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/external/opencv3/modules/cudafilters/src/cuda/
Dfilter2d.cu52 __global__ void filter2D(const SrcPtr src, PtrStepSz<D> dst, in filter2D() function
105 … filter2D<<<grid, block, 0, stream>>>(brdSrc, dst, kernel, kWidth, kHeight, anchorX, anchorY); \
124 void filter2D(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, const float* kernel, in filter2D() function
143 …template void filter2D<uchar , uchar >(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, …
144 …template void filter2D<uchar4 , uchar4 >(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, …
145 …template void filter2D<ushort , ushort >(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, …
146 …template void filter2D<ushort4, ushort4>(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, …
147 …template void filter2D<float , float >(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, …
148 …template void filter2D<float4 , float4 >(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, …
/external/opencv3/doc/tutorials/imgproc/imgtrans/filter_2d/
Dfilter_2d.markdown9 - Use the OpenCV function @ref cv::filter2D to create your own linear filters.
43 Fortunately, OpenCV provides you with the function @ref cv::filter2D so you do not have to code all
85 char* window_name = "filter2D Demo";
117 filter2D(src, dst, ddepth , kernel, anchor, delta, BORDER_DEFAULT );
156 -# After setting the kernel, we can generate the filter by using the function @ref cv::filter2D :
158 filter2D(src, dst, ddepth , kernel, anchor, delta, BORDER_DEFAULT );
/external/opencv3/samples/python2/
Dgabor_threads.py34 fimg = cv2.filter2D(img, cv2.CV_8UC3, kern)
41 return cv2.filter2D(img, cv2.CV_8UC3, kern)
/external/opencv3/modules/imgproc/perf/
Dperf_filter2d.cpp40 TEST_CYCLE() filter2D(src, dst, CV_8UC4, kernel, Point(1, 1), 0., borderMode);
70 filter2D(sourceImage, filteredImage, CV_32F, gaborKernel); in TEST_CYCLE()
/external/opencv3/modules/photo/src/
Dseamless_cloning_impl.cpp56 filter2D(img, gx, CV_32F, kernel); in computeGradientX()
63 filter2D(img, tmp[chan], CV_32F, kernel); in computeGradientX()
77 filter2D(img, gy, CV_32F, kernel); in computeGradientY()
84 filter2D(img, tmp[chan], CV_32F, kernel); in computeGradientY()
95 filter2D(img, laplacianX, CV_32F, kernel); in computeLaplacianX()
103 filter2D(img, laplacianY, CV_32F, kernel); in computeLaplacianY()
Dcontrast_preserve.hpp142 filter2D(img, dest, -1, kernelx, anchor, 0.0, BORDER_CONSTANT); in singleChannelGradx()
152 filter2D(img, dest, -1, kernely, anchor, 0.0, BORDER_CONSTANT); in singleChannelGrady()
/external/opencv3/modules/imgproc/test/ocl/
Dtest_filter2d.cpp117 OCL_OFF(cv::filter2D(src_roi, dst_roi, -1, kernel, anchor, delta, borderType)); in OCL_TEST_P()
118 OCL_ON(cv::filter2D(usrc_roi, udst_roi, -1, kernel, anchor, delta, borderType)); in OCL_TEST_P()
/external/opencv3/modules/imgproc/test/
Dtest_filter.cpp432 cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].type(), in prepare_to_validation()
550 cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(), in prepare_to_validation()
611 cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(), in prepare_to_validation()
718 cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(), in prepare_to_validation()
837 cvtest::filter2D( test_mat[INPUT][0], test_mat[REF_OUTPUT][0], test_mat[REF_OUTPUT][0].depth(), in prepare_to_validation()
1123 cvtest::filter2D(src, temp, src.depth(), in prepare_to_validation()
1193 cvtest::filter2D(temp, dst, dst.depth(), in prepare_to_validation()
1313 cvtest::filter2D( src, dx2, ftype, kernel*kernel_scale, anchor, 0, BORDER_REPLICATE ); in test_cornerEigenValsVecs()
1315 cvtest::filter2D( src, dy2, ftype, kernel*kernel_scale, anchor, 0, BORDER_REPLICATE ); in test_cornerEigenValsVecs()
1341 cvtest::filter2D( dx2, dx2, ftype, kernel, anchor, 0, BORDER_REPLICATE ); in test_cornerEigenValsVecs()
[all …]
Dtest_canny.cpp176 cvtest::filter2D(src, dx, CV_16S, dxkernel, anchor, 0, BORDER_REPLICATE); in test_Canny()
177 cvtest::filter2D(src, dy, CV_16S, dykernel, anchor, 0, BORDER_REPLICATE); in test_Canny()
/external/opencv3/modules/imgproc/
Dopencl_kernels_imgproc.cpp3124 const struct ProgramEntry filter2D={"filter2D", variable
3298 ProgramSource filter2D_oclsrc(filter2D.programStr);
Dopencl_kernels_imgproc.hpp34 extern const struct ProgramEntry filter2D;
/external/opencv3/doc/tutorials/core/mat-mask-operations/
Dmat_mask_operations.markdown29 @ref cv::filter2D function.
108 The filter2D function
119 Then call the @ref cv::filter2D function specifying the input, the output image and the kernell to
122 filter2D(I, K, I.depth(), kern);
/external/opencv3/samples/cpp/tutorial_code/ImgTrans/
Dfilter2D_demo.cpp60 filter2D(src, dst, ddepth , kernel, anchor, delta, BORDER_DEFAULT ); in main()
DimageSegmentation.cpp59 filter2D(sharp, imgLaplacian, CV_32F, kernel); in main()
/external/opencv3/modules/cudafilters/perf/
Dperf_filters.cpp111 cv::Ptr<cv::cuda::Filter> filter2D = cv::cuda::createLinearFilter(d_src.type(), -1, kernel); variable
113 TEST_CYCLE() filter2D->apply(d_src, dst);
121 TEST_CYCLE() cv::filter2D(src, dst, -1, kernel);
/external/opencv3/modules/imgproc/src/
Dfilterengine.hpp245 bool isSeparable() const { return !filter2D; } in isSeparable()
276 Ptr<BaseFilter> filter2D; member in cv::FilterEngine
/external/opencv3/modules/cudafilters/src/
Dfiltering.cpp181 void filter2D(PtrStepSzb srcWhole, int ofsX, int ofsY, PtrStepSzb dst, const float* kernel,
233 func_ = cv::cuda::device::filter2D<uchar, uchar>; in LinearFilter()
236 func_ = cv::cuda::device::filter2D<uchar4, uchar4>; in LinearFilter()
239 func_ = cv::cuda::device::filter2D<ushort, ushort>; in LinearFilter()
242 func_ = cv::cuda::device::filter2D<ushort4, ushort4>; in LinearFilter()
245 func_ = cv::cuda::device::filter2D<float, float>; in LinearFilter()
248 func_ = cv::cuda::device::filter2D<float4, float4>; in LinearFilter()
/external/opencv3/samples/cpp/tutorial_code/core/mat_mask_operations/
Dmat_mask_operations.cpp53 filter2D(I, K, I.depth(), kern ); in main()
/external/opencv3/samples/gpu/performance/
Dtests.cpp948 TEST(filter2D) in TEST() argument
963 cv::filter2D(src, dst, -1, kernel); in TEST()
966 cv::filter2D(src, dst, -1, kernel); in TEST()
972 Ptr<cuda::Filter> filter2D = cuda::createLinearFilter(d_src.type(), -1, kernel); in TEST() local
973 filter2D->apply(d_src, d_dst); in TEST()
976 filter2D->apply(d_src, d_dst); in TEST()
/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_backprojection/
Dpy_histogram_backprojection.markdown65 cv2.filter2D(B,-1,disc,B)
103 cv2.filter2D(dst,-1,disc,dst)
/external/opencv3/doc/py_tutorials/py_imgproc/py_filtering/
Dpy_filtering.markdown18 OpenCV provides a function **cv2.filter2D()** to convolve a kernel with an image. As an example, we
34 dst = cv2.filter2D(img,-1,kernel)
/external/opencv3/doc/tutorials/core/
Dtable_of_content_core.markdown32 You'll find out how to scan images with neighbor access and use the @ref cv::filter2D
/external/opencv3/modules/cudafilters/test/
Dtest_filters.cpp153 …cv::Ptr<cv::cuda::Filter> filter2D = cv::cuda::createLinearFilter(src.type(), -1, kernel, anchor, … in CUDA_TEST_P() local
156 filter2D->apply(loadMat(src, useRoi), dst); in CUDA_TEST_P()
159 cv::filter2D(src, dst_gold, -1, kernel, anchor, 0, borderType); in CUDA_TEST_P()
/external/opencv3/doc/tutorials/imgproc/imgtrans/distance_transformation/
Ddistance_transform.markdown9 - Use the OpenCV function @ref cv::filter2D in order to perform some laplacian filtering for imag…
/external/opencv3/modules/cudaarithm/perf/
Dperf_arithm.cpp250 TEST_CYCLE() cv::filter2D(image, dst, image.depth(), templ);

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