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Description: Color Conversion Algorithms.• RGB to HSV & HSV to RGB • RGB to YIQ & YIQ to RGB • RGB to XYZ & XYZ to RGB • XYZ to CIE L*a*b* (CIELAB) & CIELAB to XYZ • XYZ to CIELUV & CIELUV to XYZ-Color Conversion Algorithms.
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Size: 40260 |
Author: 大海 |
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Description: Color Conversion Algorithms.• RGB to HSV & HSV to RGB • RGB to YIQ & YIQ to RGB • RGB to XYZ & XYZ to RGB • XYZ to CIE L*a*b* (CIELAB) & CIELAB to XYZ • XYZ to CIELUV & CIELUV to XYZ-Color Conversion Algorithms.
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Size: 39936 |
Author: 大海 |
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Description: 绘制Photoshop中的RGB到CIELab的三维彩色视图
-Photoshop rendering of RGB to CIELAB color three-dimensional view
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Size: 2062336 |
Author: alai |
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Description: 绘制LCD的RGB和喷墨打印机的
CMYK到CIELab的三维彩色视图
-LCD rendering of RGB and CMYK inkjet printers to the CIELAB color three-dimensional view
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Size: 83968 |
Author: donghaiyan |
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Description: 这个Matlab程序用于颜色空间的转换。可以在RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH)等颜色空间中任意转换。.rar-The Matlab program used for color space conversion. In RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH) such as color space conversion arbitrary. . rar
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Size: 98304 |
Author: 李远 |
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Description: ％ function [L, a, b] = RGB2Lab(R, G, B)
％ RGB2Lab takes matrices corresponding to Red, Green, and Blue, and
％ transforms them into CIELab. This transform is based on ITU-R
％ Recommendation BT.709 using the D65 white point reference.
％ The error in transforming RGB -> Lab -> RGB is approximately
％ 10^-5. RGB values can be either between 0 and 1 or between 0 and 255.
％ By Mark Ruzon from C code by Yossi Rubner, 23 September 1997.
％ Updated for MATLAB 5 28 January 1998.-％ function [L, a, b] = RGB2Lab(R, G, B)
％ RGB2Lab takes matrices corresponding to Red, Green, and Blue, and
％ transforms them into CIELab. This transform is based on ITU-R
％ Recommendation BT.709 using the D65 white point reference.
％ The error in transforming RGB-> Lab-> RGB is approximately
％ 10^-5. RGB values can be either between 0 and 1 or between 0 and 255.
％ By Mark Ruzon from C code by Yossi Rubner, 23 September 1997.
％ Updated for MATLAB 5 28 January 1998.
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Size: 2048 |
Author: 郑成勇 |
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Description: Convert a color image between color representations.
B = COLORSPACE(S,A) converts the color representation of image A
where S is a string specifying the conversion. S tells the
source and destination color spaces, S = dest<-src , or
alternatively, S = src->dest . Supported color spaces are
RGB R G B Red Green Blue (ITU-R BT.709 gamma-corrected)
YPbPr Luma (ITU-R BT.601) + Chroma
YCbCr / YCC Luma + Chroma ("digitized" version of Y PbPr)
YUV NTSC PAL Y UV Luma + Chroma
YIQ NTSC Y IQ Luma + Chroma
YDbDr SECAM Y DbDr Luma + Chroma
JPEGYCbCr JPEG-Y CbCr Luma + Chroma
HSV / HSB Hue Saturation Value/Brightness
HSL / HLS / HSI Hue Saturation Luminance/Intensity
XYZ CIE XYZ
Lab CIE L*a*b* (CIELAB)
Luv CIE L*u*v* (CIELUV)
Lch CIE L*ch (CIELCH)-Convert a color image between color representations. B = COLORSPACE (S, A) converts the color representation of image A where S is a string specifying the conversion. S tells the source and destination color spaces, S = ' dest <-src' , or alternatively, S = ' src-> dest' . Supported color spaces are ' RGB' R' G' B ' Red Green Blue (ITU-R BT.709 gamma-corrected)' YPbPr ' Luma (ITU-R BT.601 )+ Chroma ' YCbCr' /' YCC' Luma+ Chroma ( " digitized" version of Y' PbPr) ' YUV' NTSC PAL Y' UV Luma+ Chroma ' YIQ' NTSC Y' IQ Luma+ Chroma ' YDbDr' SECAM Y ' DbDr Luma+ Chroma ' JPEGYCbCr' JPEG-Y' CbCr Luma+ Chroma ' HSV' /' HSB' Hue Saturation Value/Brightness' HSL ' /' HLS ' /' HSI ' Hue Saturation Luminance/Intensity' XYZ ' CIE XYZ' Lab ' CIE L* a* b* (CIELAB)' Luv ' CIE L* u* v* (CIELUV)' Lch ' CIE L* ch (CIE
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Size: 4096 |
Author: 张灯结 |
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Description: RGB,YCbCr,HSV,HSL,CIE等颜色空间转换
这个Matlab程序用于颜色空间的转换。可以在RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH)等颜色空间中任意转换。-B = colorspace( dest<-src , A) converts image A from color space src to color space dest .
Example:
B = colorspace( HSV<-RGB ,A) Convert image A from RGB to HSV
C = colorspace( YCbCr<-HSV ,B) Convert HSV to YCbCr
D = colorspace( RGB<-YCbCr ,C) Convert YCbCr back to RGB
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Size: 4096 |
Author: 李佳航 |
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Description: LAB2RGB Convert an image from CIELAB to RGB
function [R, G, B] = Lab2RGB(L, a, b)
function [R, G, B] = Lab2RGB(I)
function I = Lab2RGB(...)- LAB2RGB Convert an image from CIELAB to RGB
function [R, G, B] = Lab2RGB(L, a, b)
function [R, G, B] = Lab2RGB(I)
function I = Lab2RGB(...)
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Size: 1024 |
Author: waseem |
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Description: 用于颜色空间的转换。可以在RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH)等颜色空间中任意转换。
-The Matlab program used for color space conversion. In RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH) any other color space conversion.
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Size: 145408 |
Author: Matthew |
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Description: rgb2lab() Converte de RGB image to para LAB, a LAB2RGB Convert an image from CIELAB to RGB.
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Size: 2048 |
Author: ketan chaudhari |
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Description: MAtlab 实现RGB向CIELAB转换的M 文件-MAtlab RGB to CIELAB conversion to achieve the M-file
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Size: 52224 |
Author: Mr.xu |
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Description: RGB color channel to XYZ channel.
XYZ channel to CIELab channel.
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Size: 1024 |
Author: monG |
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Description: This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
-This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
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Size: 974848 |
Author: Deepesh |
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Description: Convert image RGB to GIELAB
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Size: 1024 |
Author: Hanaich |
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Description: RGB 颜色空间 到 CIELab颜色空间(RGB color space to CIELab color space)
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Size: 1024 |
Author: 章浩天 |
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