问题
I have an image; I am running a loop over it and creating a cell array. But the process for all the values is very slow. Is it any way possible to fasten the process?
Or any other way to do this faster?
Any help would be appreciated.
[a,b] = size(depth);
for i=1:a % a = 1024
for j=1:b %b = 1360
if isfinite(depth(i,j))
segId = (label(i,j));
if (segId > 0)
mycell{1,idx,segId} = {i,j,depth(i,j)};
idx=idx+1;
end
end
end
end
回答1:
Instead of updating the size of mycell each interaction, create the cell structure beforehand. That should fasten it a bit.
Nevertheless, you are evaluating all the points of a image. Why not make some mathematical operations?
[rol,col] = find(depth(depth>0)) - I quick scan your code, your are looking for this values I think.
this gives you the positions in your image that you wanna find. Maybe you just need to put this on a for cycle and it will be faster.
回答2:
This is much faster than earlier approach. Thanks for the help.
[row,col] = find(~(isnan(depth)));
len = length(row);
for i= 1:len
segId = (label(row(i),col(i)));
if (segId > 0)
mycell{1,idx,segId} = {row(i),col(i),depth(row(i),col(i))};
idx=idx+1;
end
end
来源:https://stackoverflow.com/questions/36689941/any-other-approach-for-fasters-implementation-matlab-cell-array