vectorization of nested for loop

i want to transfer an image pixels coordination into matrix (rows x 2) , this is the code with for loops, i want to vectorize it because it takes so much time for big images.
I=imread('1.bmp');
[rows,columns,~]=size(I);
pix_im=[];
for l=1:rows
for c=1:columns
pix_im=[pix_im;l c];
end
end

 采纳的回答

Ameer Hamza
Ameer Hamza 2020-11-15
编辑:Ameer Hamza 2020-11-15
No wonder this code runs slow. You are using dynamic memory allocation. You can get several-fold speed gain just by pre-allocation: https://www.mathworks.com/help/matlab/matlab_prog/preallocating-arrays.html. However, you don't even need a loop for this. You can do it much more efficiently like this.
I=imread('1.bmp');
[rows,columns,~]=size(I);
[c,r] = ndgrid(1:columns, 1:rows);
pix_im = [r(:) c(:)]

3 个评论

thank you so much it works and it's fast just like i want.
i was trying to do the same thing with meshgrid but i couldn't get a correct result ( am new to matlabe),
and even when i use a loop with pre-allocation the way you proposed is faster. thank you again.
I am glad to be of help!

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