/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Copyright (C) 2014, Itseez Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" #include "opencl_kernels_imgproc.hpp" #if defined (HAVE_IPP) && (IPP_VERSION_X100 >= 700) #define USE_IPP_CANNY 1 #else #define USE_IPP_CANNY 0 #endif namespace cv { #ifdef HAVE_IPP static bool ippCanny(const Mat& _src, Mat& _dst, float low, float high) { #if USE_IPP_CANNY int size = 0, size1 = 0; IppiSize roi = { _src.cols, _src.rows }; if (ippiFilterSobelNegVertGetBufferSize_8u16s_C1R(roi, ippMskSize3x3, &size) < 0) return false; if (ippiFilterSobelHorizGetBufferSize_8u16s_C1R(roi, ippMskSize3x3, &size1) < 0) return false; size = std::max(size, size1); if (ippiCannyGetSize(roi, &size1) < 0) return false; size = std::max(size, size1); AutoBuffer buf(size + 64); uchar* buffer = alignPtr((uchar*)buf, 32); Mat _dx(_src.rows, _src.cols, CV_16S); if( ippiFilterSobelNegVertBorder_8u16s_C1R(_src.ptr(), (int)_src.step, _dx.ptr(), (int)_dx.step, roi, ippMskSize3x3, ippBorderRepl, 0, buffer) < 0 ) return false; Mat _dy(_src.rows, _src.cols, CV_16S); if( ippiFilterSobelHorizBorder_8u16s_C1R(_src.ptr(), (int)_src.step, _dy.ptr(), (int)_dy.step, roi, ippMskSize3x3, ippBorderRepl, 0, buffer) < 0 ) return false; if( ippiCanny_16s8u_C1R(_dx.ptr(), (int)_dx.step, _dy.ptr(), (int)_dy.step, _dst.ptr(), (int)_dst.step, roi, low, high, buffer) < 0 ) return false; return true; #else CV_UNUSED(_src); CV_UNUSED(_dst); CV_UNUSED(low); CV_UNUSED(high); return false; #endif } #endif #ifdef HAVE_OPENCL static bool ocl_Canny(InputArray _src, OutputArray _dst, float low_thresh, float high_thresh, int aperture_size, bool L2gradient, int cn, const Size & size) { UMat map; const ocl::Device &dev = ocl::Device::getDefault(); int max_wg_size = (int)dev.maxWorkGroupSize(); int lSizeX = 32; int lSizeY = max_wg_size / 32; if (lSizeY == 0) { lSizeX = 16; lSizeY = max_wg_size / 16; } if (lSizeY == 0) { lSizeY = 1; } if (L2gradient) { low_thresh = std::min(32767.0f, low_thresh); high_thresh = std::min(32767.0f, high_thresh); if (low_thresh > 0) low_thresh *= low_thresh; if (high_thresh > 0) high_thresh *= high_thresh; } int low = cvFloor(low_thresh), high = cvFloor(high_thresh); if (aperture_size == 3 && !_src.isSubmatrix()) { /* stage1_with_sobel: Sobel operator Calc magnitudes Non maxima suppression Double thresholding */ char cvt[40]; ocl::Kernel with_sobel("stage1_with_sobel", ocl::imgproc::canny_oclsrc, format("-D WITH_SOBEL -D cn=%d -D TYPE=%s -D convert_floatN=%s -D floatN=%s -D GRP_SIZEX=%d -D GRP_SIZEY=%d%s", cn, ocl::memopTypeToStr(_src.depth()), ocl::convertTypeStr(_src.depth(), CV_32F, cn, cvt), ocl::typeToStr(CV_MAKE_TYPE(CV_32F, cn)), lSizeX, lSizeY, L2gradient ? " -D L2GRAD" : "")); if (with_sobel.empty()) return false; UMat src = _src.getUMat(); map.create(size, CV_32S); with_sobel.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::WriteOnlyNoSize(map), (float) low, (float) high); size_t globalsize[2] = { size.width, size.height }, localsize[2] = { lSizeX, lSizeY }; if (!with_sobel.run(2, globalsize, localsize, false)) return false; } else { /* stage1_without_sobel: Calc magnitudes Non maxima suppression Double thresholding */ UMat dx, dy; Sobel(_src, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(_src, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); ocl::Kernel without_sobel("stage1_without_sobel", ocl::imgproc::canny_oclsrc, format("-D WITHOUT_SOBEL -D cn=%d -D GRP_SIZEX=%d -D GRP_SIZEY=%d%s", cn, lSizeX, lSizeY, L2gradient ? " -D L2GRAD" : "")); if (without_sobel.empty()) return false; map.create(size, CV_32S); without_sobel.args(ocl::KernelArg::ReadOnlyNoSize(dx), ocl::KernelArg::ReadOnlyNoSize(dy), ocl::KernelArg::WriteOnly(map), low, high); size_t globalsize[2] = { size.width, size.height }, localsize[2] = { lSizeX, lSizeY }; if (!without_sobel.run(2, globalsize, localsize, false)) return false; } int PIX_PER_WI = 8; /* stage2: hysteresis (add weak edges if they are connected with strong edges) */ int sizey = lSizeY / PIX_PER_WI; if (sizey == 0) sizey = 1; size_t globalsize[2] = { size.width, (size.height + PIX_PER_WI - 1) / PIX_PER_WI }, localsize[2] = { lSizeX, sizey }; ocl::Kernel edgesHysteresis("stage2_hysteresis", ocl::imgproc::canny_oclsrc, format("-D STAGE2 -D PIX_PER_WI=%d -D LOCAL_X=%d -D LOCAL_Y=%d", PIX_PER_WI, lSizeX, sizey)); if (edgesHysteresis.empty()) return false; edgesHysteresis.args(ocl::KernelArg::ReadWrite(map)); if (!edgesHysteresis.run(2, globalsize, localsize, false)) return false; // get edges ocl::Kernel getEdgesKernel("getEdges", ocl::imgproc::canny_oclsrc, format("-D GET_EDGES -D PIX_PER_WI=%d", PIX_PER_WI)); if (getEdgesKernel.empty()) return false; _dst.create(size, CV_8UC1); UMat dst = _dst.getUMat(); getEdgesKernel.args(ocl::KernelArg::ReadOnly(map), ocl::KernelArg::WriteOnlyNoSize(dst)); return getEdgesKernel.run(2, globalsize, NULL, false); } #endif #ifdef HAVE_TBB // Queue with peaks that will processed serially. static tbb::concurrent_queue borderPeaks; class tbbCanny { public: tbbCanny(const Range _boundaries, const Mat& _src, uchar* _map, int _low, int _high, int _aperture_size, bool _L2gradient) : boundaries(_boundaries), src(_src), map(_map), low(_low), high(_high), aperture_size(_aperture_size), L2gradient(_L2gradient) {} // This parallel version of Canny algorithm splits the src image in threadsNumber horizontal slices. // The first row of each slice contains the last row of the previous slice and // the last row of each slice contains the first row of the next slice // so that each slice is independent and no mutexes are required. void operator()() const { #if CV_SSE2 bool haveSSE2 = checkHardwareSupport(CV_CPU_SSE2); #endif const int type = src.type(), cn = CV_MAT_CN(type); Mat dx, dy; ptrdiff_t mapstep = src.cols + 2; // In sobel transform we calculate ksize2 extra lines for the first and last rows of each slice // because IPPDerivSobel expects only isolated ROIs, in contrast with the opencv version which // uses the pixels outside of the ROI to form a border. uchar ksize2 = aperture_size / 2; if (boundaries.start == 0 && boundaries.end == src.rows) { Mat tempdx(boundaries.end - boundaries.start + 2, src.cols, CV_16SC(cn)); Mat tempdy(boundaries.end - boundaries.start + 2, src.cols, CV_16SC(cn)); memset(tempdx.ptr(0), 0, cn * src.cols*sizeof(short)); memset(tempdy.ptr(0), 0, cn * src.cols*sizeof(short)); memset(tempdx.ptr(tempdx.rows - 1), 0, cn * src.cols*sizeof(short)); memset(tempdy.ptr(tempdy.rows - 1), 0, cn * src.cols*sizeof(short)); Sobel(src, tempdx.rowRange(1, tempdx.rows - 1), CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(src, tempdy.rowRange(1, tempdy.rows - 1), CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); dx = tempdx; dy = tempdy; } else if (boundaries.start == 0) { Mat tempdx(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); Mat tempdy(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); memset(tempdx.ptr(0), 0, cn * src.cols*sizeof(short)); memset(tempdy.ptr(0), 0, cn * src.cols*sizeof(short)); Sobel(src.rowRange(boundaries.start, boundaries.end + 1 + ksize2), tempdx.rowRange(1, tempdx.rows), CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(src.rowRange(boundaries.start, boundaries.end + 1 + ksize2), tempdy.rowRange(1, tempdy.rows), CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); dx = tempdx.rowRange(0, tempdx.rows - ksize2); dy = tempdy.rowRange(0, tempdy.rows - ksize2); } else if (boundaries.end == src.rows) { Mat tempdx(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); Mat tempdy(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); memset(tempdx.ptr(tempdx.rows - 1), 0, cn * src.cols*sizeof(short)); memset(tempdy.ptr(tempdy.rows - 1), 0, cn * src.cols*sizeof(short)); Sobel(src.rowRange(boundaries.start - 1 - ksize2, boundaries.end), tempdx.rowRange(0, tempdx.rows - 1), CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(src.rowRange(boundaries.start - 1 - ksize2, boundaries.end), tempdy.rowRange(0, tempdy.rows - 1), CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); dx = tempdx.rowRange(ksize2, tempdx.rows); dy = tempdy.rowRange(ksize2, tempdy.rows); } else { Mat tempdx(boundaries.end - boundaries.start + 2 + 2*ksize2, src.cols, CV_16SC(cn)); Mat tempdy(boundaries.end - boundaries.start + 2 + 2*ksize2, src.cols, CV_16SC(cn)); Sobel(src.rowRange(boundaries.start - 1 - ksize2, boundaries.end + 1 + ksize2), tempdx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(src.rowRange(boundaries.start - 1 - ksize2, boundaries.end + 1 + ksize2), tempdy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); dx = tempdx.rowRange(ksize2, tempdx.rows - ksize2); dy = tempdy.rowRange(ksize2, tempdy.rows - ksize2); } int maxsize = std::max(1 << 10, src.cols * (boundaries.end - boundaries.start) / 10); std::vector stack(maxsize); uchar **stack_top = &stack[0]; uchar **stack_bottom = &stack[0]; AutoBuffer buffer(cn * mapstep * 3 * sizeof(int)); int* mag_buf[3]; mag_buf[0] = (int*)(uchar*)buffer; mag_buf[1] = mag_buf[0] + mapstep*cn; mag_buf[2] = mag_buf[1] + mapstep*cn; // calculate magnitude and angle of gradient, perform non-maxima suppression. // fill the map with one of the following values: // 0 - the pixel might belong to an edge // 1 - the pixel can not belong to an edge // 2 - the pixel does belong to an edge for (int i = boundaries.start - 1; i <= boundaries.end; i++) { int* _norm = mag_buf[(i > boundaries.start) - (i == boundaries.start - 1) + 1] + 1; short* _dx = dx.ptr(i - boundaries.start + 1); short* _dy = dy.ptr(i - boundaries.start + 1); if (!L2gradient) { int j = 0, width = src.cols * cn; #if CV_SSE2 if (haveSSE2) { __m128i v_zero = _mm_setzero_si128(); for ( ; j <= width - 8; j += 8) { __m128i v_dx = _mm_loadu_si128((const __m128i *)(_dx + j)); __m128i v_dy = _mm_loadu_si128((const __m128i *)(_dy + j)); v_dx = _mm_max_epi16(v_dx, _mm_sub_epi16(v_zero, v_dx)); v_dy = _mm_max_epi16(v_dy, _mm_sub_epi16(v_zero, v_dy)); __m128i v_norm = _mm_add_epi32(_mm_unpacklo_epi16(v_dx, v_zero), _mm_unpacklo_epi16(v_dy, v_zero)); _mm_storeu_si128((__m128i *)(_norm + j), v_norm); v_norm = _mm_add_epi32(_mm_unpackhi_epi16(v_dx, v_zero), _mm_unpackhi_epi16(v_dy, v_zero)); _mm_storeu_si128((__m128i *)(_norm + j + 4), v_norm); } } #elif CV_NEON for ( ; j <= width - 8; j += 8) { int16x8_t v_dx = vld1q_s16(_dx + j), v_dy = vld1q_s16(_dy + j); vst1q_s32(_norm + j, vaddq_s32(vabsq_s32(vmovl_s16(vget_low_s16(v_dx))), vabsq_s32(vmovl_s16(vget_low_s16(v_dy))))); vst1q_s32(_norm + j + 4, vaddq_s32(vabsq_s32(vmovl_s16(vget_high_s16(v_dx))), vabsq_s32(vmovl_s16(vget_high_s16(v_dy))))); } #endif for ( ; j < width; ++j) _norm[j] = std::abs(int(_dx[j])) + std::abs(int(_dy[j])); } else { int j = 0, width = src.cols * cn; #if CV_SSE2 if (haveSSE2) { for ( ; j <= width - 8; j += 8) { __m128i v_dx = _mm_loadu_si128((const __m128i *)(_dx + j)); __m128i v_dy = _mm_loadu_si128((const __m128i *)(_dy + j)); __m128i v_dx_ml = _mm_mullo_epi16(v_dx, v_dx), v_dx_mh = _mm_mulhi_epi16(v_dx, v_dx); __m128i v_dy_ml = _mm_mullo_epi16(v_dy, v_dy), v_dy_mh = _mm_mulhi_epi16(v_dy, v_dy); __m128i v_norm = _mm_add_epi32(_mm_unpacklo_epi16(v_dx_ml, v_dx_mh), _mm_unpacklo_epi16(v_dy_ml, v_dy_mh)); _mm_storeu_si128((__m128i *)(_norm + j), v_norm); v_norm = _mm_add_epi32(_mm_unpackhi_epi16(v_dx_ml, v_dx_mh), _mm_unpackhi_epi16(v_dy_ml, v_dy_mh)); _mm_storeu_si128((__m128i *)(_norm + j + 4), v_norm); } } #elif CV_NEON for ( ; j <= width - 8; j += 8) { int16x8_t v_dx = vld1q_s16(_dx + j), v_dy = vld1q_s16(_dy + j); int16x4_t v_dxp = vget_low_s16(v_dx), v_dyp = vget_low_s16(v_dy); int32x4_t v_dst = vmlal_s16(vmull_s16(v_dxp, v_dxp), v_dyp, v_dyp); vst1q_s32(_norm + j, v_dst); v_dxp = vget_high_s16(v_dx), v_dyp = vget_high_s16(v_dy); v_dst = vmlal_s16(vmull_s16(v_dxp, v_dxp), v_dyp, v_dyp); vst1q_s32(_norm + j + 4, v_dst); } #endif for ( ; j < width; ++j) _norm[j] = int(_dx[j])*_dx[j] + int(_dy[j])*_dy[j]; } if (cn > 1) { for(int j = 0, jn = 0; j < src.cols; ++j, jn += cn) { int maxIdx = jn; for(int k = 1; k < cn; ++k) if(_norm[jn + k] > _norm[maxIdx]) maxIdx = jn + k; _norm[j] = _norm[maxIdx]; _dx[j] = _dx[maxIdx]; _dy[j] = _dy[maxIdx]; } } _norm[-1] = _norm[src.cols] = 0; // at the very beginning we do not have a complete ring // buffer of 3 magnitude rows for non-maxima suppression if (i <= boundaries.start) continue; uchar* _map = map + mapstep*i + 1; _map[-1] = _map[src.cols] = 1; int* _mag = mag_buf[1] + 1; // take the central row ptrdiff_t magstep1 = mag_buf[2] - mag_buf[1]; ptrdiff_t magstep2 = mag_buf[0] - mag_buf[1]; const short* _x = dx.ptr(i - boundaries.start); const short* _y = dy.ptr(i - boundaries.start); if ((stack_top - stack_bottom) + src.cols > maxsize) { int sz = (int)(stack_top - stack_bottom); maxsize = std::max(maxsize * 3/2, sz + src.cols); stack.resize(maxsize); stack_bottom = &stack[0]; stack_top = stack_bottom + sz; } #define CANNY_PUSH(d) *(d) = uchar(2), *stack_top++ = (d) #define CANNY_POP(d) (d) = *--stack_top int prev_flag = 0; bool canny_push = false; for (int j = 0; j < src.cols; j++) { #define CANNY_SHIFT 15 const int TG22 = (int)(0.4142135623730950488016887242097*(1< low) { int xs = _x[j]; int ys = _y[j]; int x = std::abs(xs); int y = std::abs(ys) << CANNY_SHIFT; int tg22x = x * TG22; if (y < tg22x) { if (m > _mag[j-1] && m >= _mag[j+1]) canny_push = true; } else { int tg67x = tg22x + (x << (CANNY_SHIFT+1)); if (y > tg67x) { if (m > _mag[j+magstep2] && m >= _mag[j+magstep1]) canny_push = true; } else { int s = (xs ^ ys) < 0 ? -1 : 1; if (m > _mag[j+magstep2-s] && m > _mag[j+magstep1+s]) canny_push = true; } } } if (!canny_push) { prev_flag = 0; _map[j] = uchar(1); continue; } else { // _map[j-mapstep] is short-circuited at the start because previous thread is // responsible for initializing it. if (!prev_flag && m > high && (i <= boundaries.start+1 || _map[j-mapstep] != 2) ) { CANNY_PUSH(_map + j); prev_flag = 1; } else _map[j] = 0; canny_push = false; } } // scroll the ring buffer _mag = mag_buf[0]; mag_buf[0] = mag_buf[1]; mag_buf[1] = mag_buf[2]; mag_buf[2] = _mag; } // now track the edges (hysteresis thresholding) while (stack_top > stack_bottom) { if ((stack_top - stack_bottom) + 8 > maxsize) { int sz = (int)(stack_top - stack_bottom); maxsize = maxsize * 3/2; stack.resize(maxsize); stack_bottom = &stack[0]; stack_top = stack_bottom + sz; } uchar* m; CANNY_POP(m); // Stops thresholding from expanding to other slices by sending pixels in the borders of each // slice in a queue to be serially processed later. if ( (m < map + (boundaries.start + 2) * mapstep) || (m >= map + boundaries.end * mapstep) ) { borderPeaks.push(m); continue; } if (!m[-1]) CANNY_PUSH(m - 1); if (!m[1]) CANNY_PUSH(m + 1); if (!m[-mapstep-1]) CANNY_PUSH(m - mapstep - 1); if (!m[-mapstep]) CANNY_PUSH(m - mapstep); if (!m[-mapstep+1]) CANNY_PUSH(m - mapstep + 1); if (!m[mapstep-1]) CANNY_PUSH(m + mapstep - 1); if (!m[mapstep]) CANNY_PUSH(m + mapstep); if (!m[mapstep+1]) CANNY_PUSH(m + mapstep + 1); } } private: const Range boundaries; const Mat& src; uchar* map; int low; int high; int aperture_size; bool L2gradient; }; #endif } // namespace cv void cv::Canny( InputArray _src, OutputArray _dst, double low_thresh, double high_thresh, int aperture_size, bool L2gradient ) { const int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); const Size size = _src.size(); CV_Assert( depth == CV_8U ); _dst.create(size, CV_8U); if (!L2gradient && (aperture_size & CV_CANNY_L2_GRADIENT) == CV_CANNY_L2_GRADIENT) { // backward compatibility aperture_size &= ~CV_CANNY_L2_GRADIENT; L2gradient = true; } if ((aperture_size & 1) == 0 || (aperture_size != -1 && (aperture_size < 3 || aperture_size > 7))) CV_Error(CV_StsBadFlag, "Aperture size should be odd"); if (low_thresh > high_thresh) std::swap(low_thresh, high_thresh); CV_OCL_RUN(_dst.isUMat() && (cn == 1 || cn == 3), ocl_Canny(_src, _dst, (float)low_thresh, (float)high_thresh, aperture_size, L2gradient, cn, size)) Mat src = _src.getMat(), dst = _dst.getMat(); #ifdef HAVE_TEGRA_OPTIMIZATION if (tegra::useTegra() && tegra::canny(src, dst, low_thresh, high_thresh, aperture_size, L2gradient)) return; #endif CV_IPP_RUN(USE_IPP_CANNY && (aperture_size == 3 && !L2gradient && 1 == cn), ippCanny(src, dst, (float)low_thresh, (float)high_thresh)) #ifdef HAVE_TBB if (L2gradient) { low_thresh = std::min(32767.0, low_thresh); high_thresh = std::min(32767.0, high_thresh); if (low_thresh > 0) low_thresh *= low_thresh; if (high_thresh > 0) high_thresh *= high_thresh; } int low = cvFloor(low_thresh); int high = cvFloor(high_thresh); ptrdiff_t mapstep = src.cols + 2; AutoBuffer buffer((src.cols+2)*(src.rows+2)); uchar* map = (uchar*)buffer; memset(map, 1, mapstep); memset(map + mapstep*(src.rows + 1), 1, mapstep); int threadsNumber = tbb::task_scheduler_init::default_num_threads(); int grainSize = src.rows / threadsNumber; // Make a fallback for pictures with too few rows. uchar ksize2 = aperture_size / 2; int minGrainSize = 1 + ksize2; int maxGrainSize = src.rows - 2 - 2*ksize2; if ( !( minGrainSize <= grainSize && grainSize <= maxGrainSize ) ) { threadsNumber = 1; grainSize = src.rows; } tbb::task_group g; for (int i = 0; i < threadsNumber; ++i) { if (i < threadsNumber - 1) g.run(tbbCanny(Range(i * grainSize, (i + 1) * grainSize), src, map, low, high, aperture_size, L2gradient)); else g.run(tbbCanny(Range(i * grainSize, src.rows), src, map, low, high, aperture_size, L2gradient)); } g.wait(); #define CANNY_PUSH_SERIAL(d) *(d) = uchar(2), borderPeaks.push(d) // now track the edges (hysteresis thresholding) uchar* m; while (borderPeaks.try_pop(m)) { if (!m[-1]) CANNY_PUSH_SERIAL(m - 1); if (!m[1]) CANNY_PUSH_SERIAL(m + 1); if (!m[-mapstep-1]) CANNY_PUSH_SERIAL(m - mapstep - 1); if (!m[-mapstep]) CANNY_PUSH_SERIAL(m - mapstep); if (!m[-mapstep+1]) CANNY_PUSH_SERIAL(m - mapstep + 1); if (!m[mapstep-1]) CANNY_PUSH_SERIAL(m + mapstep - 1); if (!m[mapstep]) CANNY_PUSH_SERIAL(m + mapstep); if (!m[mapstep+1]) CANNY_PUSH_SERIAL(m + mapstep + 1); } #else Mat dx(src.rows, src.cols, CV_16SC(cn)); Mat dy(src.rows, src.cols, CV_16SC(cn)); Sobel(src, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(src, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); if (L2gradient) { low_thresh = std::min(32767.0, low_thresh); high_thresh = std::min(32767.0, high_thresh); if (low_thresh > 0) low_thresh *= low_thresh; if (high_thresh > 0) high_thresh *= high_thresh; } int low = cvFloor(low_thresh); int high = cvFloor(high_thresh); ptrdiff_t mapstep = src.cols + 2; AutoBuffer buffer((src.cols+2)*(src.rows+2) + cn * mapstep * 3 * sizeof(int)); int* mag_buf[3]; mag_buf[0] = (int*)(uchar*)buffer; mag_buf[1] = mag_buf[0] + mapstep*cn; mag_buf[2] = mag_buf[1] + mapstep*cn; memset(mag_buf[0], 0, /* cn* */mapstep*sizeof(int)); uchar* map = (uchar*)(mag_buf[2] + mapstep*cn); memset(map, 1, mapstep); memset(map + mapstep*(src.rows + 1), 1, mapstep); int maxsize = std::max(1 << 10, src.cols * src.rows / 10); std::vector stack(maxsize); uchar **stack_top = &stack[0]; uchar **stack_bottom = &stack[0]; /* sector numbers (Top-Left Origin) 1 2 3 * * * * * * 0*******0 * * * * * * 3 2 1 */ #define CANNY_PUSH(d) *(d) = uchar(2), *stack_top++ = (d) #define CANNY_POP(d) (d) = *--stack_top #if CV_SSE2 bool haveSSE2 = checkHardwareSupport(CV_CPU_SSE2); #endif // calculate magnitude and angle of gradient, perform non-maxima suppression. // fill the map with one of the following values: // 0 - the pixel might belong to an edge // 1 - the pixel can not belong to an edge // 2 - the pixel does belong to an edge for (int i = 0; i <= src.rows; i++) { int* _norm = mag_buf[(i > 0) + 1] + 1; if (i < src.rows) { short* _dx = dx.ptr(i); short* _dy = dy.ptr(i); if (!L2gradient) { int j = 0, width = src.cols * cn; #if CV_SSE2 if (haveSSE2) { __m128i v_zero = _mm_setzero_si128(); for ( ; j <= width - 8; j += 8) { __m128i v_dx = _mm_loadu_si128((const __m128i *)(_dx + j)); __m128i v_dy = _mm_loadu_si128((const __m128i *)(_dy + j)); v_dx = _mm_max_epi16(v_dx, _mm_sub_epi16(v_zero, v_dx)); v_dy = _mm_max_epi16(v_dy, _mm_sub_epi16(v_zero, v_dy)); __m128i v_norm = _mm_add_epi32(_mm_unpacklo_epi16(v_dx, v_zero), _mm_unpacklo_epi16(v_dy, v_zero)); _mm_storeu_si128((__m128i *)(_norm + j), v_norm); v_norm = _mm_add_epi32(_mm_unpackhi_epi16(v_dx, v_zero), _mm_unpackhi_epi16(v_dy, v_zero)); _mm_storeu_si128((__m128i *)(_norm + j + 4), v_norm); } } #elif CV_NEON for ( ; j <= width - 8; j += 8) { int16x8_t v_dx = vld1q_s16(_dx + j), v_dy = vld1q_s16(_dy + j); vst1q_s32(_norm + j, vaddq_s32(vabsq_s32(vmovl_s16(vget_low_s16(v_dx))), vabsq_s32(vmovl_s16(vget_low_s16(v_dy))))); vst1q_s32(_norm + j + 4, vaddq_s32(vabsq_s32(vmovl_s16(vget_high_s16(v_dx))), vabsq_s32(vmovl_s16(vget_high_s16(v_dy))))); } #endif for ( ; j < width; ++j) _norm[j] = std::abs(int(_dx[j])) + std::abs(int(_dy[j])); } else { int j = 0, width = src.cols * cn; #if CV_SSE2 if (haveSSE2) { for ( ; j <= width - 8; j += 8) { __m128i v_dx = _mm_loadu_si128((const __m128i *)(_dx + j)); __m128i v_dy = _mm_loadu_si128((const __m128i *)(_dy + j)); __m128i v_dx_ml = _mm_mullo_epi16(v_dx, v_dx), v_dx_mh = _mm_mulhi_epi16(v_dx, v_dx); __m128i v_dy_ml = _mm_mullo_epi16(v_dy, v_dy), v_dy_mh = _mm_mulhi_epi16(v_dy, v_dy); __m128i v_norm = _mm_add_epi32(_mm_unpacklo_epi16(v_dx_ml, v_dx_mh), _mm_unpacklo_epi16(v_dy_ml, v_dy_mh)); _mm_storeu_si128((__m128i *)(_norm + j), v_norm); v_norm = _mm_add_epi32(_mm_unpackhi_epi16(v_dx_ml, v_dx_mh), _mm_unpackhi_epi16(v_dy_ml, v_dy_mh)); _mm_storeu_si128((__m128i *)(_norm + j + 4), v_norm); } } #elif CV_NEON for ( ; j <= width - 8; j += 8) { int16x8_t v_dx = vld1q_s16(_dx + j), v_dy = vld1q_s16(_dy + j); int16x4_t v_dxp = vget_low_s16(v_dx), v_dyp = vget_low_s16(v_dy); int32x4_t v_dst = vmlal_s16(vmull_s16(v_dxp, v_dxp), v_dyp, v_dyp); vst1q_s32(_norm + j, v_dst); v_dxp = vget_high_s16(v_dx), v_dyp = vget_high_s16(v_dy); v_dst = vmlal_s16(vmull_s16(v_dxp, v_dxp), v_dyp, v_dyp); vst1q_s32(_norm + j + 4, v_dst); } #endif for ( ; j < width; ++j) _norm[j] = int(_dx[j])*_dx[j] + int(_dy[j])*_dy[j]; } if (cn > 1) { for(int j = 0, jn = 0; j < src.cols; ++j, jn += cn) { int maxIdx = jn; for(int k = 1; k < cn; ++k) if(_norm[jn + k] > _norm[maxIdx]) maxIdx = jn + k; _norm[j] = _norm[maxIdx]; _dx[j] = _dx[maxIdx]; _dy[j] = _dy[maxIdx]; } } _norm[-1] = _norm[src.cols] = 0; } else memset(_norm-1, 0, /* cn* */mapstep*sizeof(int)); // at the very beginning we do not have a complete ring // buffer of 3 magnitude rows for non-maxima suppression if (i == 0) continue; uchar* _map = map + mapstep*i + 1; _map[-1] = _map[src.cols] = 1; int* _mag = mag_buf[1] + 1; // take the central row ptrdiff_t magstep1 = mag_buf[2] - mag_buf[1]; ptrdiff_t magstep2 = mag_buf[0] - mag_buf[1]; const short* _x = dx.ptr(i-1); const short* _y = dy.ptr(i-1); if ((stack_top - stack_bottom) + src.cols > maxsize) { int sz = (int)(stack_top - stack_bottom); maxsize = std::max(maxsize * 3/2, sz + src.cols); stack.resize(maxsize); stack_bottom = &stack[0]; stack_top = stack_bottom + sz; } int prev_flag = 0; for (int j = 0; j < src.cols; j++) { #define CANNY_SHIFT 15 const int TG22 = (int)(0.4142135623730950488016887242097*(1< low) { int xs = _x[j]; int ys = _y[j]; int x = std::abs(xs); int y = std::abs(ys) << CANNY_SHIFT; int tg22x = x * TG22; if (y < tg22x) { if (m > _mag[j-1] && m >= _mag[j+1]) goto __ocv_canny_push; } else { int tg67x = tg22x + (x << (CANNY_SHIFT+1)); if (y > tg67x) { if (m > _mag[j+magstep2] && m >= _mag[j+magstep1]) goto __ocv_canny_push; } else { int s = (xs ^ ys) < 0 ? -1 : 1; if (m > _mag[j+magstep2-s] && m > _mag[j+magstep1+s]) goto __ocv_canny_push; } } } prev_flag = 0; _map[j] = uchar(1); continue; __ocv_canny_push: if (!prev_flag && m > high && _map[j-mapstep] != 2) { CANNY_PUSH(_map + j); prev_flag = 1; } else _map[j] = 0; } // scroll the ring buffer _mag = mag_buf[0]; mag_buf[0] = mag_buf[1]; mag_buf[1] = mag_buf[2]; mag_buf[2] = _mag; } // now track the edges (hysteresis thresholding) while (stack_top > stack_bottom) { uchar* m; if ((stack_top - stack_bottom) + 8 > maxsize) { int sz = (int)(stack_top - stack_bottom); maxsize = maxsize * 3/2; stack.resize(maxsize); stack_bottom = &stack[0]; stack_top = stack_bottom + sz; } CANNY_POP(m); if (!m[-1]) CANNY_PUSH(m - 1); if (!m[1]) CANNY_PUSH(m + 1); if (!m[-mapstep-1]) CANNY_PUSH(m - mapstep - 1); if (!m[-mapstep]) CANNY_PUSH(m - mapstep); if (!m[-mapstep+1]) CANNY_PUSH(m - mapstep + 1); if (!m[mapstep-1]) CANNY_PUSH(m + mapstep - 1); if (!m[mapstep]) CANNY_PUSH(m + mapstep); if (!m[mapstep+1]) CANNY_PUSH(m + mapstep + 1); } #endif // the final pass, form the final image const uchar* pmap = map + mapstep + 1; uchar* pdst = dst.ptr(); for (int i = 0; i < src.rows; i++, pmap += mapstep, pdst += dst.step) { for (int j = 0; j < src.cols; j++) pdst[j] = (uchar)-(pmap[j] >> 1); } } void cvCanny( const CvArr* image, CvArr* edges, double threshold1, double threshold2, int aperture_size ) { cv::Mat src = cv::cvarrToMat(image), dst = cv::cvarrToMat(edges); CV_Assert( src.size == dst.size && src.depth() == CV_8U && dst.type() == CV_8U ); cv::Canny(src, dst, threshold1, threshold2, aperture_size & 255, (aperture_size & CV_CANNY_L2_GRADIENT) != 0); } /* End of file. */