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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Thanks in advance

Respuesta aceptada

Walter Roberson
Walter Roberson el 29 de Jun. de 2016
See mat2cell() and cellfun()

Más respuestas (1)

kaavya subramani
kaavya subramani el 29 de Jun. de 2016
Editada: Walter Roberson el 29 de Jun. de 2016
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)
  5 comentarios
kaavya subramani
kaavya subramani el 29 de Jun. de 2016
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
kaavya subramani el 29 de Jun. de 2016
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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