| /external/opencv3/modules/imgproc/test/ |
| test_templmatch.cpp | 196 CvScalar ccorr(0);
209 ccorr.val[0] += a[l]*b[l];
219 ccorr.val[0] += a[l]*b[l];
220 ccorr.val[1] += a[l+1]*b[l+1];
221 ccorr.val[2] += a[l+2]*b[l+2];
241 ccorr.val[0] += a[l]*b[l];
251 ccorr.val[0] += a[l]*b[l];
252 ccorr.val[1] += a[l+1]*b[l+1];
253 ccorr.val[2] += a[l+2]*b[l+2];
268 value = ccorr.val[0]
[all...] |
| /external/opencv3/samples/cpp/tutorial_code/Histograms_Matching/ |
| MatchTemplate_Demo.cpp | 41 const char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
|
| /external/opencv3/modules/core/test/ocl/ |
| test_dft.cpp | 132 bool ccorr, useRoi; local
140 ccorr = GET_PARAM(0);
169 OCL_OFF(cv::mulSpectrums(src1_roi, src2_roi, dst_roi, 0, ccorr));
170 OCL_ON(cv::mulSpectrums(usrc1_roi, usrc2_roi, udst_roi, 0, ccorr));
|
| /external/opencv3/modules/cudaarithm/test/ |
| test_arithm.cpp | 319 void convolveDFT(const cv::Mat& A, const cv::Mat& B, cv::Mat& C, bool ccorr = false)
346 cv::mulSpectrums(tempA, tempB, tempA, 0, ccorr);
359 IMPLEMENT_PARAM_CLASS(Ccorr, bool)
362 PARAM_TEST_CASE(Convolve, cv::cuda::DeviceInfo, cv::Size, KSize, Ccorr)
367 bool ccorr; local
374 ccorr = GET_PARAM(3);
388 conv->convolve(loadMat(src), loadMat(kernel), dst, ccorr); local
391 convolveDFT(src, kernel, dst_gold, ccorr);
400 testing::Values(Ccorr(false), Ccorr(true))))
[all...] |
| /external/opencv3/modules/cudaimgproc/src/cuda/ |
| match_template.cu | 231 float ccorr = result.ptr(y)[x];
232 result.ptr(y)[x] = image_sqsum_ - 2.f * ccorr + templ_sqsum;
301 float ccorr = result.ptr(y)[x];
302 result.ptr(y)[x] = normAcc_SQDIFF(image_sqsum_ - 2.f * ccorr + templ_sqsum,
347 float ccorr = result.ptr(y)[x];
348 result.ptr(y)[x] = ccorr - image_sum_ * templ_sum_scale;
383 float ccorr = result.ptr(y)[x];
384 result.ptr(y)[x] = ccorr - image_sum_r_ * templ_sum_scale_r
434 float ccorr = result.ptr(y)[x];
435 result.ptr(y)[x] = ccorr - image_sum_r_ * templ_sum_scale_
[all...] |
| /external/opencv3/modules/cudaarithm/perf/ |
| perf_arithm.cpp | 221 const bool ccorr = GET_PARAM(2); local
239 TEST_CYCLE() convolution->convolve(d_image, d_templ, dst, ccorr);
245 if (ccorr)
|
| /external/opencv3/doc/tutorials/imgproc/histograms/template_matching/ |
| template_matching.markdown | 129 char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
208 -# Generate the following result matrices (first row are the standard methods SQDIFF, CCORR and
220 that CCORR and CCDEFF gave erroneous best matches, however their normalized version did it
|
| /external/opencv3/modules/cudaarithm/src/ |
| arithm.cpp | 409 void convolve(InputArray image, InputArray templ, OutputArray result, bool ccorr = false, Stream& stream = Stream::Null());
471 void ConvolutionImpl::convolve(InputArray _image, InputArray _templ, OutputArray _result, bool ccorr, Stream& _stream)
513 1.f / dft_size.area(), ccorr, _stream);
|
| /external/opencv3/modules/cudaarithm/include/opencv2/ |
| cudaarithm.hpp | [all...] |
| /external/opencv3/modules/imgproc/src/ |
| templmatch.cpp | 52 /////////////////////////////////////////////////// CCORR //////////////////////////////////////////////////////////////
277 format("-D CCORR -D T=%s -D T1=%s -D WT=%s -D WT1=%s -D convertToWT=%s -D convertToWT1=%s -D cn=%d -D PIX_PER_WI_X=%d", ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(wtype1), ocl::typeToStr(wtype),
[all...] |
| /external/opencv3/modules/imgproc/src/opencl/ |
| match_template.cl | 139 #elif defined CCORR
|
| /external/opencv3/samples/gpu/performance/ |
| tests.cpp | 43 SUBTEST << src.cols << 'x' << src.rows << ", 32FC1" << ", templ " << templ_size << 'x' << templ_size << ", CCORR";
|
| /external/opencv3/modules/core/include/opencv2/core/ |
| mat.hpp | [all...] |
| /external/opencv3/modules/imgproc/ |
| opencl_kernels_imgproc.cpp | [all...] |
