核心提示：MATLAB代做|FPGA代做|python代做-SEAMCUT ...
function x=SeamCut(x,SeamVector)
% SEAMCUT takes as input a RGB or grayscale image and SeamVector array to
% find the pixels contained in the seam, and to remove them from the image.
% Each col of SeamVector must be a single seam.
[rows cols dim]=size(x);
[SVrows SVcols SVdim]=size(SeamVector);
if rows~=SVrows
error('SeamVector and image dimension mismatch');
end
for k=1:SVcols %goes through set of seams
for i=1:dim %if rgb, goes through each channel
for j=1:rows %goes through each row in image
if SeamVector(j,k)==1
CutImg(j,:,i)=[x(j,2:cols,i)];
elseif SeamVector(j,k)==cols
CutImg(j,:,i)=[x(j,1:cols-1,i)];
else
CutImg(j,:,i)=[x(j,1:SeamVector(j,k)-1,i) x(j,SeamVector(j,k)+1:cols,i)];
end
end
end
x=CutImg;
clear CutImg
[rows cols dim]=size(x);
end
% for i=1:dim
% for j=1:rows
% if SeamVector(j)==1
% CutImg(j,:,i)=[x(j,SeamVector(j)+1:end,i)];
% elseif SeamVector(j)==cols
% CutImg(j,:,i)=[x(j,1:SeamVector(j)-1,i)];
% else
% CutImg(j,:,i)=[x(j,1:SeamVector(j)-1,i) x(j,SeamVector(j)+1:end,i)];
% end
% end
% end
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