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3D-Image Processing find() several values performance

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Matthias Walle
Matthias Walle 2019-9-30
回答： Kritika Bansal 2019-11-8
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
https://www.mathworks.com/matlabcentral/fileexchange/49162-fastfindk
Happy for all suggestings, I have a full license.
Cheers,
matt

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回答（1 个）

Kritika Bansal
Kritika Bansal 2019-11-8
Hi,
You can try creating a parallel.pool.Constant and see if that helps you. You can find more information on the link below:
https://www.mathworks.com/help/parallel-computing/parallel.pool.constant.html;jsessionid=ad12ff1a6d5ad8f39a79fdd2b4ca

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