Simplest solution: don't convert to a cell array. It may be quite possible to simply use indexing for whatever processing your are doing.
How to improve performance with mat2cell?
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Hi All,
My Code currently is taking one hour to get executed. When I calculated time and checked with profiler, it showed that 3918.994 seconds time is taken for doing mat2cell operation on 215 3D images in a loop. Below given is my mat2cell conversion in which I need to divide each 3D figure into cubes of 13x13x2
mat2cell(ThreeDimFigure,[13*ones(1, floor(size(ThreeDimFigure,1)/13)), mod(size(ThreeDimFigure,1), 13)],[13*ones(1, floor(size(ThreeDimFigure,2)/13)), mod(size(ThreeDimFigure,2), 13)], [2*ones(1, floor(size(ThreeDimFigure,3)/2)), mod(size(ThreeDimFigure,3), 2)]);
Can anyone help me out??
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