Is there a way to reduce the processing time of a pixelseparator code?

Is there a way to reduce the processing time of a pixelseparator code?

I am trying to convert an image into a set of arrays that can be useful for digital processing and analytics for commercial purposes. A code has already been created and it works, but is there any way to reduce the time taken for the code to be executed?

I am trying to convert an image into a set of arrays that can be useful for digital processing and analytics for commercial purposes. A code has already been created and it works, but is there any way to reduce the time taken for the code to be executed?

This is a final stage for the commercialisation of a new form of technology that will need to take into account real time analysis of images taken by the technology.

function pixelseperator()

clear all

close all Image=imread('flirpolarcamtest3.png');

Image=uint16(Image); [m,n]=size(Image); Imagex=zeros(m/2,n/2); Imagexrows=zeros((m/2),1); col=1; for ni=1:2:n-1 row=1; for mi=1:2:m-1 Imagexrows(row)=Image(mi,ni); row=row+1;
end col=col+1;
Imagex(:,col)=Imagexrows; end Image0=Imagex;

The average time taken for the code to be actuated was apprximately 0.74 seconds, which was expected but a bit too long for the desired time and contained a bit too many intermediates making the code a bit redundant. I am looking for a way to cut down on redundancues and hence reduce the time taken for processing.

matlab

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