How can I split an hsv image into separate h,s,v components?

I have a white balanced image in rgb format. I want to convert the rgb image into hsv image and want to split into separate h,s,v components

Answer 1

[Walter Roberson]

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

[XAVIER]

Hi! How can I split mutiple images?

[DGM]

I'm going to assume that these images are still on disk and need to be read. If that's the case, then the question is largely "how do I read multiple images". The details might depend on whether you need to process the images sequentially or together, but there are a number of examples on the forum:

https://www.mathworks.com/matlabcentral/answers/?search_origin=ans_leaf&term=read+multiple+images

There are also quite a few examples (even some within those) that include writing multiple files, as that's often part of the same task.

A more detailed and specific answer would require a more detailed description of the overall task and the intended workflow. That said, elaborating might warrant starting a new thread.

Answer 2

[DGM]

Since R2018b, you can also use imsplit(). Imsplit will work on any multichannel image.

% you can split an RGB image into its channels
Argb = imread('peppers.png');
[R G B] = imsplit(Argb);

% or you can split an HSV image just the same
Ahsv = rgb2hsv(Argb);
[H S V] = imsplit(Ahsv);

% it would even work if the number of channels isn't 3
Argba = cat(3,Argb,im2uint8(V)); % maybe you have an alpha channel
[R G B A] = imsplit(Argba);