Writing elegant MATLAB code
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I have a great interest in writing my MATLAB code the "right" way. I want it to be compact, readable and fast. As such, I have a few patterns that I see occasionally. Some I have found neat solutions to, some I have not.
1. Matrix mixing or tensors? If you want to do image processing, you may want to do linear color transforms. Each output channel should be a weighted sum of each input channel (channels indexed by the third matrix dimension). Now, there are probably neat ways of doing this in image processing toolbaox, but tht is expensive, does not make for portable code, and this pattern could appear in other contexts than image processing. I guess that some tensor/kron() operation would do this cleaner, but I did not figure it out.
 rgb = double(imread('ngc6543a.jpg'));
M = [0.1 0.8 0.1; -0.1 1.2 -0.1; 0 0.5 0.5];
rgb2(:,:,1) =  M(1,1)*rgb(:,:,1) + M(1,2)*rgb(:,:,2) + M(1,3)*rgb(:,:,3);
rgb2(:,:,2) =  M(2,1)*rgb(:,:,1) + M(2,2)*rgb(:,:,2) + M(2,3)*rgb(:,:,3);
rgb2(:,:,3) =  M(3,1)*rgb(:,:,1) + M(3,2)*rgb(:,:,2) + M(3,3)*rgb(:,:,3);
figure
image(rgb2);
2. Indexing I want to make an irregular index into a vector/matrix. For instance, [x1, x2, x11, x12, x21, x22]. Ideally, I'd like to type something like: x(1:(10+1:2):N) Is there a neat pattern for this? Perhaps using ind2sub?
6 commentaires
  Andrei Bobrov
      
      
 le 23 Juin 2011
				more variant
idx = reshape(bsxfun(@plus,strfind(rem(1:length(x),10),[1 2]),[0;1]),1,[])
Réponses (5)
  Titus Edelhofer
    
 le 22 Juin 2011
        Hi,
for these cases I usually cange from 3D to 2D:
[n,m,~] = size(rgb);
rgb2D = reshape(rgb, n*m, 3);
rgb2D2 = rgb2D * M';
rgb2 = reshape(rgb2D2, n, m, 3);
Titus
6 commentaires
  Andrei Bobrov
      
      
 le 23 Juin 2011
				Hi friends!
@Igor. Valid.
Analog for your example: repmat(sum(rgb,3),1,1,3)
  Igor
      
 le 23 Juin 2011
				Yes... cells doesn't needed
Very excellent 3-columns, I see, after reshape(rgb,[],3) in bobrov's variant
  Andrew Newell
      
 le 22 Juin 2011
        - To improve on your code, you'll probably need a third-party package like TPROD. EDIT 06/24/11: Another package is MTIMESX.
- One way is
x(sort([1:10:21 2:10:22]))
Another is
I = [1:10:21; 2:10:22];
x(I(:)')
A more general approach is the following:
lastDigit = 0:2;
I = 0:99; I = I(ismember(mod(I,10),lastDigit));
Whether it is "neat" will be a matter for personal taste.
0 commentaires
  Sean de Wolski
      
      
 le 22 Juin 2011
        I would do your above operation with:
rgb3 = zeros(size(rgb));
for ii = 1:3
  rgb3(:,:,ii) = sum(bsxfun(@times,reshape(M(ii,:),[1 1 3]),rgb),3);
end
There's probably a way use just one call after reshaping rgb into the 4th dimension but I'm too busy right now to toy with it. Maybe later.
0 commentaires
  Andrei Bobrov
      
      
 le 22 Juin 2011
        1. My variant - is worse than variant of Titus Edelhofer
reshape(sum(bsxfun(@times,reshape(rgb,[],3),permute(M,[3 2 1])),2),size(rgb))
2. My variant - is worse than variant of Andrew Newell
ind = cumsum([1:2;10*ones(length(x)/10-1,2)])';
x(ind(:)')
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