/external/opencv3/doc/py_tutorials/py_imgproc/py_colorspaces/ |
D | py_colorspaces.markdown | 8 BGR \f$\leftrightarrow\f$ Gray, BGR \f$\leftrightarrow\f$ HSV etc. 16 … which are most widely used ones, BGR \f$\leftrightarrow\f$ Gray and BGR \f$\leftrightarrow\f$ HSV. 22 \f$\rightarrow\f$ HSV, we use the flag cv2.COLOR_BGR2HSV. To get other flags, just run following 29 @note For HSV, Hue range is [0,179], Saturation range is [0,255] and Value range is [0,255]. 36 Now we know how to convert BGR image to HSV, we can use this to extract a colored object. In HSV, it 41 - Convert from BGR to HSV color-space 42 - We threshold the HSV image for a range of blue color 57 # Convert BGR to HSV 60 # define range of blue color in HSV 64 # Threshold the HSV image to get only blue colors [all …]
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/external/opencv3/modules/cudev/test/ |
D | test_color_cvt.cu | 128 CVT_COLOR_TEST(RGB, HSV, 3, 3) 129 CVT_COLOR_TEST(BGR, HSV, 3, 3) 131 CVT_COLOR_TEST(HSV, RGB, 3, 3) 132 CVT_COLOR_TEST(HSV, BGR, 3, 3) 137 CVT_COLOR_TEST(HSV, RGB_FULL, 3, 3) 138 CVT_COLOR_TEST(HSV, BGR_FULL, 3, 3)
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/external/opencv3/doc/tutorials/imgproc/histograms/histogram_comparison/ |
D | histogram_comparison.markdown | 41 - Convert the images to HSV format 56 compare ( BGR and HSV ) 74 -# Convert them to HSV format: 80 -# Also, create an image of half the base image (in HSV format):
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/external/opencv3/modules/imgproc/src/ |
D | colormap.cpp | 401 class HSV : public ColorMap { class 403 HSV() : ColorMap() { in HSV() function in cv::colormap::HSV 407 HSV(int n) : ColorMap() { in HSV() function in cv::colormap::HSV 537 colormap == COLORMAP_HSV ? (colormap::ColorMap*)(new colormap::HSV) : in applyColorMap()
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_2d_histogram/ |
D | py_2d_histogram.markdown | 28 we need to convert the image from BGR to HSV. (Remember, for 1D histogram, we converted from BGR to 114 In that code, the author created a color map in HSV. Then converted it into BGR. The resulting
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/external/opencv3/doc/tutorials/imgproc/histograms/back_projection/ |
D | back_projection.markdown | 64 - Convert the original to HSV format and separate only *Hue* channel to be used for the 94 -# Read the input image and transform it to HSV format:
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/external/llvm/lib/Transforms/Vectorize/ |
D | BBVectorize.cpp | 2464 ShuffleVectorInst *HSV = dyn_cast<ShuffleVectorInst>(HOp); in getReplacementInput() local 2475 if ((LEE || LSV) && (HEE || HSV) && !IsSizeChangeShuffle) { in getReplacementInput() 2495 Value *I3 = HSV->getOperand(0); in getReplacementInput() 2502 Value *I4 = HSV->getOperand(1); in getReplacementInput() 2549 Idx = HSV->getMaskValue(i); in getReplacementInput() 2551 INum = HSV->getOperand(0) == I1 ? 0 : 1; in getReplacementInput() 2554 INum = HSV->getOperand(1) == I1 ? 0 : 1; in getReplacementInput()
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/external/opencv3/modules/imgproc/doc/ |
D | colors.markdown | 52 RGB \f$\leftrightarrow\f$ HSV
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/external/opencv3/doc/tutorials/core/mat_the_basic_image_container/ |
D | mat_the_basic_image_container.markdown | 123 - The HSV and HLS decompose colors into their hue, saturation and value/luminance components,
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/external/skia/src/animator/ |
D | SkAnimateSchema.xsd | 1236 Color describes a color in RGB space or HSV space, and its alpha (transparency). 1250 <!-- @attribute hue The hue component of an HSV color. Hue ranges from 0 to 360. --> 1254 …<!-- @attribute saturation The saturation component of an HSV color. Saturation ranges from 0 to 1… 1256 <!-- @attribute value The value component of an HSV color. Value ranges from 0 to 1. --> 1931 <!-- @element color Color specifies a solid color in RGB or HSV. -->
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/external/opencv3/modules/imgproc/src/opencl/ |
D | cvtcolor.cl | 1022 //////////////////////////////////// RGB <-> HSV //////////////////////////////////////
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