Reputation: 3616
I have an image that I opened in Matlab using imshow
and I want to replace the color of every pixel with value (140,50,61) with a new color (150,57,80). If anyone could please advise how I can do this.
Upvotes: 1
Views: 770
Reputation: 104565
bsxfun
is the way I would have solved it. However, if you aren't familiar with it, you can extract each channel from your image, use three logical masks for each channel and combine them all using logical
AND. Doing AND will find those pixels in your image that looks for that particular RGB triple.
As such, we set the outputs of each channel accordingly and reconstruct the image to produce the output.
Therefore, given your input image A
, one could do:
red = A(:,:,1); green = A(:,:,2); blue = A(:,:,3);
mred = red == 140; mgreen = green == 50; mblue = blue == 61;
final_mask = mred & mgreen & mblue;
red(final_mask) = 150; green(final_mask) = 57; blue(final_mask) = 80;
out = cat(3, red, green, blue);
Upvotes: 1
Reputation: 221764
Assuming A
to be the input image data, this could be one approach -
%// Initialize vectors for old and new pixels tuplets
oldval = [140,50,61]
newval = [150,57,80]
%// Reshape the input array to a 2D array, so that each column would
%// reprsent one pixel color information.
B = reshape(permute(A,[3 1 2]),3,[])
%// Find out which columns match up with the oldval [3x1] values
matches = all(bsxfun(@eq,B,oldval(:)),1)
%// OR matches = matches = ismember(B',oldval(:)','rows')
%// Replace all those columns with the replicated versions of oldval
B(:,matches) = repmat(newval(:),1,sum(matches))
%// Reshape the 2D array back to the same size as input array
out = reshape(permute(B,[3 2 1]),size(A))
Sample run -
>> A
A(:,:,1) =
140 140 140
40 140 140
A(:,:,2) =
50 20 50
50 50 50
A(:,:,3) =
61 65 61
61 61 61
>> out
out(:,:,1) =
150 140 150
40 150 150
out(:,:,2) =
57 20 57
50 57 57
out(:,:,3) =
80 65 80
61 80 80
Upvotes: 2