Hi, i need to divide all 5 images into 16x16 block, then perform "minus" operation (i.e 1st from 3rd image, then calculate "mean").Likewise for (3rd and 5th image) and (2nd and 4th image) using block process

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kaavya subramani 2016-6-29

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评论： kaavya subramani 2016-6-29

采纳的回答： Walter Roberson

Thanks in advance

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Walter Roberson 2016-6-29

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See mat2cell() and cellfun()

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kaavya subramani 2016-6-29

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编辑：Walter Roberson 2016-6-29

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Thanks a lot sir, i have tried code using those 2 function, please check whether it is correct.

n=16*ones(1,16)
k=[img1 img2 img3 img4 img5]
for i=1:length(k)
blockres(i)=mat2cell(i,n,n)
end
for p=1:length(blockres)-2
for q=2+p:length(blockres)
minus(p)=cellfun(@minus,p,q,'uniform',0)
end
sum(p)=cellfun(@sum,minus,'uniform',0)
end
mean(p)=cellfun(@mean,sum,'uniform',0)

Sorry sir,i noticed that from comment, but i not corrected in my code. n=16*ones(1,16) k={img1 img2 img3 img4 img5} for i=1:length(k) blockres(i)=mat2cell(k{i},n,n) end for p=1:length(blockres)-2 for q=2+p:length(blockres) minus(p)=cellfun(@minus,p{blockres},q{blockres},'uniform',0) end mean(p)=cellfun(@mean,sum,'uniform',0) end

kaavya subramani 2016-6-29

k sir. n=16*ones(1,16) k={img1 img2 img3 img4 img5} for i=1:length(k) blockres(i)=mat2cell(k{i},n,n) end for p=1:length(blockres)-2 for q=2+p:length(blockres) res1(p)=cellfun(@minus,p{blockres},q{blockres},'uniform',0) end res2(p)=cellfun(@mean,sum,'uniform',0) end

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