How can I split an hsv image into separate h,s,v components?
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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
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Accepted Answer
Walter Roberson
on 12 Oct 2015
HSV = rgb2hsv(YourRGBImage);
H = HSV(:,:,1);
S = HSV(:,:,2);
V = HSV(:,:,3);
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DGM
on 27 Oct 2022
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:
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.
More Answers (1)
DGM
on 15 Nov 2021
Edited: DGM
on 15 Nov 2021
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);
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