/external/opencv3/samples/cpp/tutorial_code/Histograms_Matching/ |
D | compareHist_Demo.cpp | 65 calcHist( &hsv_base, 1, channels, Mat(), hist_base, 2, histSize, ranges, true, false ); in main() 68 … calcHist( &hsv_half_down, 1, channels, Mat(), hist_half_down, 2, histSize, ranges, true, false ); in main() 71 calcHist( &hsv_test1, 1, channels, Mat(), hist_test1, 2, histSize, ranges, true, false ); in main() 74 calcHist( &hsv_test2, 1, channels, Mat(), hist_test2, 2, histSize, ranges, true, false ); in main()
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D | calcHist_Demo.cpp | 45 calcHist( &bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate ); in main() 46 calcHist( &bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate ); in main() 47 calcHist( &bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate ); in main()
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D | calcBackProject_Demo1.cpp | 66 calcHist( &hue, 1, 0, Mat(), hist, 1, &histSize, &ranges, true, false ); in Hist_and_Backproj()
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D | calcBackProject_Demo2.cpp | 93 calcHist( &hsv, 1, channels, mask, hist, 2, histSize, ranges, true, false ); in Hist_and_Backproj()
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/ |
D | py_histogram_begins.markdown | 10 - You will see these functions : **cv2.calcHist()**, **np.histogram()** etc. 60 So now we use **cv2.calcHist()** function to find the histogram. Let's familiarize with the function 63 <center><em>cv2.calcHist(images, channels, mask, histSize, ranges[, hist[, accumulate]])</em></cent… 82 hist = cv2.calcHist([img],[0],None,[256],[0,256]) 89 Numpy also provides you a function, **np.histogram()**. So instead of calcHist() function, you can 118 It directly finds the histogram and plot it. You need not use calcHist() or np.histogram() function 142 histr = cv2.calcHist([img],[i],None,[256],[0,256]) 164 We used cv2.calcHist() to find the histogram of the full image. What if you want to find histograms 177 hist_full = cv2.calcHist([img],[0],None,[256],[0,256]) 178 hist_mask = cv2.calcHist([img],[0],mask,[256],[0,256])
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/external/opencv3/doc/tutorials/imgproc/histograms/histogram_calculation/ |
D | histogram_calculation.markdown | 10 - To calculate histograms of arrays of images by using the OpenCV function @ref cv::calcHist 56 For simple purposes, OpenCV implements the function @ref cv::calcHist , which calculates the 66 - Calculate the Histogram of each 1-channel plane by calling the function @ref cv::calcHist 117 -# We proceed to calculate the histograms by using the OpenCV function @ref cv::calcHist : 120 … calcHist( &bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate ); 121 … calcHist( &bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate ); 122 … calcHist( &bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate ); 194 namedWindow("calcHist Demo", WINDOW_AUTOSIZE ); 195 imshow("calcHist Demo", histImage );
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/external/opencv3/modules/imgproc/test/ocl/ |
D | test_histogram.cpp | 125 cv::calcHist(images_roi, channels, noArray(), tmpHist, hist_size, ranges); in PARAM_TEST_CASE() 165 calcHist(&frame1, 1, 0, Mat(), hist1, 1, &histSize, &ranges1, true, false); in PARAM_TEST_CASE() 263 …OCL_OFF(cv::calcHist(std::vector<Mat>(1, src_roi), channels, noArray(), hist_roi, histSize, ranges… in OCL_TEST_P() 264 …OCL_ON(cv::calcHist(std::vector<UMat>(1, usrc_roi), channels, noArray(), uhist_roi, histSize, rang… in OCL_TEST_P()
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/external/opencv3/modules/cudaimgproc/test/ |
D | test_histogram.cpp | 81 cv::calcHist(&src, 1, channels, cv::Mat(), hist_gold, 1, histSize, ranges); in CUDA_TEST_P() 116 cv::cuda::calcHist(loadMat(src), hist); in CUDA_TEST_P() 126 cv::calcHist(&src, 1, channels, cv::Mat(), hist_gold, 1, histSize, ranges); in CUDA_TEST_P()
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/external/opencv3/modules/imgproc/perf/ |
D | perf_histogram.cpp | 40 calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges); in PERF_TEST_P() 68 calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges); in PERF_TEST_P() 96 calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges); in PERF_TEST_P()
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_backprojection/ |
D | py_histogram_backprojection.markdown | 48 # Find the histograms using calcHist. Can be done with np.histogram2d also 49 M = cv2.calcHist([hsv],[0, 1], None, [180, 256], [0, 180, 0, 256] ) 50 I = cv2.calcHist([hsvt],[0, 1], None, [180, 256], [0, 180, 0, 256] ) 80 **cv2.calcHist()** function. One of its parameter is histogram which is histogram of the object and 95 roihist = cv2.calcHist([hsv],[0, 1], None, [180, 256], [0, 180, 0, 256] )
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/external/opencv3/samples/python2/ |
D | hist.py | 30 hist_item = cv2.calcHist([im],[ch],None,[256],[0,256]) 44 hist_item = cv2.calcHist([im],[0],None,[256],[0,256])
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D | color_histogram.py | 45 h = cv2.calcHist( [hsv], [0, 1], None, [180, 256], [0, 180, 0, 256] )
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D | camshift.py | 85 hist = cv2.calcHist( [hsv_roi], [0], mask_roi, [16], [0, 180] )
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/external/opencv3/doc/tutorials/imgproc/histograms/histogram_comparison/ |
D | histogram_comparison.markdown | 105 calcHist( &hsv_base, 1, channels, Mat(), hist_base, 2, histSize, ranges, true, false ); 108 … calcHist( &hsv_half_down, 1, channels, Mat(), hist_half_down, 2, histSize, ranges, true, false ); 111 calcHist( &hsv_test1, 1, channels, Mat(), hist_test1, 2, histSize, ranges, true, false ); 114 calcHist( &hsv_test2, 1, channels, Mat(), hist_test2, 2, histSize, ranges, true, false );
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/external/chromium-trace/catapult/telemetry/telemetry/internal/image_processing/ |
D | image_util_numpy_impl.py | 162 hist_b = flatten(cv2.calcHist([image], [0], mask, [256], [0, 256])) 163 hist_g = flatten(cv2.calcHist([image], [1], mask, [256], [0, 256])) 164 hist_r = flatten(cv2.calcHist([image], [2], mask, [256], [0, 256]))
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/external/opencv3/modules/cudaimgproc/perf/ |
D | perf_histogram.cpp | 81 TEST_CYCLE() cv::calcHist(&src, 1, channels, cv::Mat(), dst, 1, histSize, ranges); in PERF_TEST_P() 143 TEST_CYCLE() cv::cuda::calcHist(d_src, dst); in PERF_TEST_P()
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/external/opencv3/samples/android/image-manipulations/src/org/opencv/samples/imagemanipulations/ |
D | ImageManipulationsActivity.java | 227 … Imgproc.calcHist(Arrays.asList(rgba), mChannels[c], mMat0, hist, mHistSize, mRanges); in onCameraFrame() 240 … Imgproc.calcHist(Arrays.asList(mIntermediateMat), mChannels[2], mMat0, hist, mHistSize, mRanges); in onCameraFrame() 250 … Imgproc.calcHist(Arrays.asList(mIntermediateMat), mChannels[0], mMat0, hist, mHistSize, mRanges); in onCameraFrame()
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_2d_histogram/ |
D | py_2d_histogram.markdown | 27 It is quite simple and calculated using the same function, **cv2.calcHist()**. For color histograms, 44 hist = cv2.calcHist([hsv], [0, 1], None, [180, 256], [0, 180, 0, 256]) 94 hist = cv2.calcHist( [hsv], [0, 1], None, [180, 256], [0, 180, 0, 256] )
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/external/opencv3/samples/cpp/ |
D | demhist.cpp | 45 calcHist(&dst, 1, 0, Mat(), hist, 1, &histSize, 0); in updateBrightnessContrast()
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D | camshiftdemo.cpp | 133 calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges); in main()
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/external/opencv3/modules/imgproc/perf/opencl/ |
D | perf_imgproc.cpp | 93 …OCL_TEST_CYCLE() cv::calcHist(std::vector<UMat>(1, src), channels, noArray(), hist, histSize, rang… in OCL_PERF_TEST_P() 117 cv::calcHist(std::vector<UMat>(1, src), channels, noArray(), hist, histSize, ranges, false); in OCL_PERF_TEST_P()
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/external/opencv3/modules/cudaimgproc/src/ |
D | histogram.cpp | 50 void cv::cuda::calcHist(InputArray, OutputArray, Stream&) { throw_no_cuda(); } in calcHist() function in cv::cuda 74 void cv::cuda::calcHist(InputArray _src, OutputArray _hist, Stream& stream) in calcHist() function in cv::cuda 117 cuda::calcHist(src, hist, _stream); in equalizeHist()
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D | generalized_hough.cpp | 477 void calcHist(); 517 calcHist(); in processImage() 521 void GeneralizedHoughBallardImpl::calcHist() in calcHist() function in __anon161a480f0211::GeneralizedHoughBallardImpl
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/external/opencv3/doc/py_tutorials/py_video/py_meanshift/ |
D | py_meanshift.markdown | 60 roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180]) 134 roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
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/external/opencv3/doc/tutorials/imgproc/histograms/back_projection/ |
D | back_projection.markdown | 133 -# **Hist_and_Backproj function:** Initialize the arguments needed for @ref cv::calcHist . The 145 calcHist( &hue, 1, 0, Mat(), hist, 1, &histSize, &ranges, true, false );
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