3D-Image Processing find() several values performance
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Basically I am trying to optimize this minimal example:
I am aware of histc() or histcounts(), however I require a linear index.
in contrast to this example the count of indices{} varies.
% Original size is 600x600x600
s=100;
% A is a binned greyscale image
A=repmat(magic(s),[1 1 s]);
% b is basically the bins
b=unique(A);
indices=cell(length(b),1);
tic
parfor i=1:length(b)
indices{i}=find(A==b(i));
end
toc
Performance is really poor on 16 cores. What am I missing?
Also tried replacing find with the mex function from fileexchange
Happy for all suggestings, I have a full license.
Cheers,
matt
回答（1 个）
Kritika Bansal
2019-11-8
0 个投票
Hi,
You can try creating a parallel.pool.Constant and see if that helps you. You can find more information on the link below:
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2019-9-30
2019-11-8
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