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× search Custom Search Sort by: Relevance Relevance Date OpenCV 4.8.0-dev4.8.04.8.0-pre5.0.0-pre4.7.04.6.04.5.54.5.44.5.34.5.24.5.14.5.04.4.04.3.04.2.04.1.24.1.14.1.04.0.14.0.03.4.20-dev3.4.203.4.193.4.183.4.173.4.163.4.153.4.143.4.133.4.123.4.113.4.103.4.93.4.83.4.73.4.63.4.53.4.43.4.33.4.23.4.13.4.03.3.13.3.03.2.03.1.03.0.0 Open Source Computer Vision * Main Page * Related Pages * Modules * +Namespaces * Namespace List * +Classes * Class List * Class Index * +Files * Files index * +Global objects * +All * _ * a * c * d * f * h * i * k * l * m * n * o * p * r * s * t * u * v * +Functions * _ * a * c * h * m * n * p * u * Variables * +Typedefs * c * i * n * s * u * v * Enumerations * +Enumerator * c * n * +Macros * _ * c * d * f * h * i * l * m * n * o * r * s * t * u * v * Examples * Java documentation * •All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Properties Friends Macros Modules Pages Color conversions See cv::cvtColor and cv::ColorConversionCodes Todo:document other conversion modes RGB ↔ GRAY Transformations within RGB space like adding/removing the alpha channel, reversing the channel order, conversion to/from 16-bit RGB color (R5:G6:B5 or R5:G5:B5), as well as conversion to/from grayscale using: RGB[A] to Gray:Y←0.299⋅R+0.587⋅G+0.114⋅B and Gray to RGB[A]:R←Y,G←Y,B←Y,A←max(ChannelRange) The conversion from a RGB image to gray is done with: cvtColor(src, bwsrc, cv::COLOR_RGB2GRAY); More advanced channel reordering can also be done with cv::mixChannels. See alsocv::COLOR_BGR2GRAY, cv::COLOR_RGB2GRAY, cv::COLOR_GRAY2BGR, cv::COLOR_GRAY2RGB RGB ↔ CIE XYZ.REC 709 WITH D65 WHITE POINT ⎡⎣⎢XYZ⎤⎦⎥←⎡⎣⎢0.4124530.2126710.0193340.3575800.7151600.1191930.1804230.0721690.950227⎤⎦⎥⋅⎡⎣⎢RGB⎤⎦⎥ ⎡⎣⎢RGB⎤⎦⎥←⎡⎣⎢3.240479−0.9692560.055648−1.537151.875991−0.204043−0.4985350.0415561.057311⎤⎦⎥⋅⎡⎣⎢XYZ⎤⎦⎥ X, Y and Z cover the whole value range (in case of floating-point images, Z may exceed 1). See alsocv::COLOR_BGR2XYZ, cv::COLOR_RGB2XYZ, cv::COLOR_XYZ2BGR, cv::COLOR_XYZ2RGB RGB ↔ YCRCB JPEG (OR YCC) Y←0.299⋅R+0.587⋅G+0.114⋅B Cr←(R−Y)⋅0.713+delta Cb←(B−Y)⋅0.564+delta R←Y+1.403⋅(Cr−delta) G←Y−0.714⋅(Cr−delta)−0.344⋅(Cb−delta) B←Y+1.773⋅(Cb−delta) where delta=⎧⎩⎨⎪⎪128327680.5for 8-bit imagesfor 16-bit imagesfor floating-point images Y, Cr, and Cb cover the whole value range. See alsocv::COLOR_BGR2YCrCb, cv::COLOR_RGB2YCrCb, cv::COLOR_YCrCb2BGR, cv::COLOR_YCrCb2RGB RGB ↔ HSV In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and scaled to fit the 0 to 1 range. V←max(R,G,B) S←{V−min(R,G,B)V0if V≠0otherwise H←⎧⎩⎨⎪⎪⎪⎪⎪⎪⎪⎪60(G−B)/(V−min(R,G,B))120+60(B−R)/(V−min(R,G,B))240+60(R−G)/(V−min(R,G,B))0if V=Rif V=Gif V=Bif R=G=B If H<0 then H←H+360 . On output 0≤V≤1, 0≤S≤1, 0≤H≤360 . The values are then converted to the destination data type: * 8-bit images: V←255V,S←255S,H←H/2(to fit to 0 to 255) * 16-bit images: (currently not supported) V<−65535V,S<−65535S,H<−H * 32-bit images: H, S, and V are left as is See alsocv::COLOR_BGR2HSV, cv::COLOR_RGB2HSV, cv::COLOR_HSV2BGR, cv::COLOR_HSV2RGB RGB ↔ HLS In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and scaled to fit the 0 to 1 range. Vmax←max(R,G,B) Vmin←min(R,G,B) L←Vmax+Vmin2 S←⎧⎩⎨Vmax−VminVmax+VminVmax−Vmin2−(Vmax+Vmin)if L<0.5 if L≥0.5 H←⎧⎩⎨⎪⎪⎪⎪⎪⎪⎪⎪60(G−B)/(Vmax−Vmin)120+60(B−R)/(Vmax−Vmin)240+60(R−G)/(Vmax−Vmin)0if Vmax=R if Vmax=G if Vmax=B if R=G=B If H<0 then H←H+360 . On output 0≤L≤1, 0≤S≤1, 0≤H≤360 . The values are then converted to the destination data type: * 8-bit images: V←255⋅V,S←255⋅S,H←H/2(to fit to 0 to 255) * 16-bit images: (currently not supported) V<−65535⋅V,S<−65535⋅S,H<−H * 32-bit images: H, S, V are left as is See alsocv::COLOR_BGR2HLS, cv::COLOR_RGB2HLS, cv::COLOR_HLS2BGR, cv::COLOR_HLS2RGB RGB ↔ CIE L*A*B* In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and scaled to fit the 0 to 1 range. ⎡⎣⎢XYZ⎤⎦⎥←⎡⎣⎢0.4124530.2126710.0193340.3575800.7151600.1191930.1804230.0721690.950227⎤⎦⎥⋅⎡⎣⎢RGB⎤⎦⎥ X←X/Xn,whereXn=0.950456 Z←Z/Zn,whereZn=1.088754 L←{116∗Y1/3−16903.3∗Yfor Y>0.008856for Y≤0.008856 a←500(f(X)−f(Y))+delta b←200(f(Y)−f(Z))+delta where f(t)={t1/37.787t+16/116for t>0.008856for t≤0.008856 and delta={1280for 8-bit imagesfor floating-point images This outputs 0≤L≤100, −127≤a≤127, −127≤b≤127 . The values are then converted to the destination data type: * 8-bit images: L←L∗255/100,a←a+128,b←b+128 * 16-bit images: (currently not supported) * 32-bit images: L, a, and b are left as is See alsocv::COLOR_BGR2Lab, cv::COLOR_RGB2Lab, cv::COLOR_Lab2BGR, cv::COLOR_Lab2RGB RGB ↔ CIE L*U*V* In case of 8-bit and 16-bit images, R, G, and B are converted to the floating-point format and scaled to fit 0 to 1 range. ⎡⎣⎢XYZ⎤⎦⎥←⎡⎣⎢0.4124530.2126710.0193340.3575800.7151600.1191930.1804230.0721690.950227⎤⎦⎥⋅⎡⎣⎢RGB⎤⎦⎥ L←{116∗Y1/3−16903.3Yfor Y>0.008856for Y≤0.008856 u′←4∗X/(X+15∗Y+3Z) v′←9∗Y/(X+15∗Y+3Z) u←13∗L∗(u′−un)whereun=0.19793943 v←13∗L∗(v′−vn)wherevn=0.46831096 This outputs 0≤L≤100, −134≤u≤220, −140≤v≤122 . The values are then converted to the destination data type: * 8-bit images: L←255/100L,u←255/354(u+134),v←255/262(v+140) * 16-bit images: (currently not supported) * 32-bit images: L, u, and v are left as is Note that when converting integer Luv images to RGB the intermediate X, Y and Z values are truncated to [0,2] range to fit white point limitations. It may lead to incorrect representation of colors with odd XYZ values. The above formulae for converting RGB to/from various color spaces have been taken from multiple sources on the web, primarily from the Charles Poynton site http://www.poynton.com/ColorFAQ.html See alsocv::COLOR_BGR2Luv, cv::COLOR_RGB2Luv, cv::COLOR_Luv2BGR, cv::COLOR_Luv2RGB BAYER → RGB The Bayer pattern is widely used in CCD and CMOS cameras. It enables you to get color pictures from a single plane where R, G, and B pixels (sensors of a particular component) are interleaved as follows: Bayer patterns (BGGR, GBRG, GRGB, RGGB) The output RGB components of a pixel are interpolated from 1, 2, or 4 neighbors of the pixel having the same color. NoteSee the following for information about correspondences between OpenCV Bayer pattern naming and classical Bayer pattern naming. Bayer pattern There are several modifications of the above pattern that can be achieved by shifting the pattern one pixel left and/or one pixel up. The two letters C1 and C2 in the conversion constants CV_Bayer C1C2 2BGR and CV_Bayer C1C2 2RGB indicate the particular pattern type. These are components from the second row, second and third columns, respectively. For example, the above pattern has a very popular "BG" type. See alsocv::COLOR_BayerRGGB2BGR, cv::COLOR_BayerGRBG2BGR, cv::COLOR_BayerBGGR2BGR, cv::COLOR_BayerGBRG2BGR, cv::COLOR_BayerRGGB2RGB, cv::COLOR_BayerGRBG2RGB, cv::COLOR_BayerBGGR2RGB, cv::COLOR_BayerGBRG2RGB cv::COLOR_BayerBG2BGR, cv::COLOR_BayerGB2BGR, cv::COLOR_BayerRG2BGR, cv::COLOR_BayerGR2BGR, cv::COLOR_BayerBG2RGB, cv::COLOR_BayerGB2RGB, cv::COLOR_BayerRG2RGB, cv::COLOR_BayerGR2RGB -------------------------------------------------------------------------------- Generated on Wed Oct 11 2023 01:39:58 for OpenCV by 1.8.13