How to separate an image to rgb?
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how to divide an image into its r,g,and b colour planes,
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Image Analyst
2013년 12월 31일
No reshaping is needed. Simply extract the color channels you need:
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);
Then, to reverse the process and create an RGB image from three separate color channels:
% Recombine separate color channels into a single, true color RGB image.
rgbImage = cat(3, redChannel, greenChannel, blueChannel);
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Walter Roberson
2017년 5월 14일
This code would definitely work if you have an RGB image stored in a variable named rgbImage .
It is possible, however, that this is not what you want done. What you might want done might be
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);
z = zeros(size(rgbImage), class(rgbImage));
redImage = z; redImage(:,:,1) = redChannel;
greenImage = z; greenImage(:,:,2) = greenChannel;
blueImage = z; blueImage(:,:,3) = blueChannel;
subplot(2,2,1); image(rgbImage);
subplot(2,2,2); image(redImage);
subplot(2,2,3); image(greenImage);
subplot(2,2,4); image(blueImage);
추가 답변 (3개)
Sailesh Sidhwani
2018년 10월 25일
편집: Sailesh Sidhwani
2019년 7월 29일
Starting R2018b, Image Processing Toolbox has a new function "imsplit" which does exactly this: https://www.mathworks.com/help/images/ref/imsplit.html
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ES
2013년 12월 31일
I=imread('image.jpg')
will give I (a 3d array, of size [x,y,3] )where x and y are the dimensions of the image. 3 is for R, G, and B components.
To separate out the three components, you can do a
R = reshape(I(:,:,1),[],1);
G = reshape(I(:,:,2),[],1);
B = reshape(I(:,:,3),[],1);
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Negesse Tadesse
2019년 7월 29일
편집: DGM
2023년 2월 12일
how about imsplit function?
[R G B] = imsplit(myImage);
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