How to process each non-overlapped block of an image after it's sub-division?
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My function sub-divides an image into non-overlapping blocks (each block is a cell matrix). I wonder how to process each block and then recombine them to make a processed image? Let's say I want to apply fast Walsh Hadamard transform (fwht2) on each block. Here is my function:
if true
function Blocks = imageBlock(I)
[m,n] = size(I);
Blocks = cell(m/8,n/8);
counti = 0;
for i = 1:8:m-7
counti = counti + 1;
countj = 0;
for j = 1:8:n-7
countj = countj + 1;
Blocks{counti,countj} = I(i:i+7,j:j+7);
end
end
end
Accepted Answer
More Answers (1)
Image Analyst
on 14 Mar 2018
2 votes
Use blockproc() and give it your function. It can be whatever you want. See attached examples.
4 Comments
Mohsin Shah
on 14 Mar 2018
Edited: Walter Roberson
on 14 Mar 2018
Walter Roberson
on 14 Mar 2018
fh = @(block_struct) fwht2d(block_struct.data);
Mohsin Shah
on 14 Mar 2018
Edited: Mohsin Shah
on 14 Mar 2018
Image Analyst
on 14 Mar 2018
You can only accept one, but you can Vote for mine. Voting will also give the answerer reputation points. You can vote for as many as you want.
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