MATLAB: I want to separate the colour RGB and HSV Image, how I do to separate and combine that

image processingimage segmentation

example : RGB = the result are Red, Green, Blue image HSV = the result are Hue, Saturation, Value. every result in RGB already get then combine with result the HSV

Best Answer

RGB Component from RGB Image

r=rgbimage(:,:,1) %Red Component
g=rgbimage(:,:,2) %Green Component
b=rgbimage(:,:,3) %Blue Component

Combine All;

rgbImage_combine=cat(3,r,g,b);

HSV Component from RGB Image

HSVimage=rgb2hsv(rgbimage);
H_component=HSVimage(:,:,1) %H Component
S_component=HSVimage(:,:,2) %S Component
I_component=HSVimage(:,:,3) %IComponent

Related Solutions

MATLAB: How to split an hsv image into separate h,s,v components

HSV = rgb2hsv(YourRGBImage);
H = HSV(:,:,1);
S = HSV(:,:,2);
V = HSV(:,:,3);

MATLAB: Fill intensity grayscale with a colour channel

Converting the grey image to pure blue with the same intensity is actually very easy, just use that image as the blue colour plane, and put 0 everywhere in the red and green planes:

rgbimage = cat(3, zeros(size(greyimage)), zeros(size(greyimage)), greyimage);

Converting the grey image to a colour that is not one of the primary is a bit more difficult. The easiest way is to do the conversion in the HSV colour space first. The grey image becomes the luminance (value), and you fix the hue plane to whatever constant you want. Then convert the HSV image to RGB:

hue = 29/256;  %for example, some sort of orange. Has to be double
hsvimage = cat(3, repmat(hue, size(greyimage)), ones(size(greyimage)), im2double(greyimage));
rgbimage = hsv2rgb(hsvimage);

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Related Solutions

MATLAB: How to split an hsv image into separate h,s,v components

MATLAB: Fill intensity grayscale with a colour channel

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