Overcome for loops for fast processing

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I have the following part of MATLAB code
skin_rgb = zeros(256.^3,1);
for i = [2000 : 2003,2008,2010:2011,2013:2015,2017:2018,2021,2024,2027:2041,2043,2045:2059,2061:2063]
I = imread(['skin_img',num2str(i),'.tif']);
[x,y,~]= size(I);
for l = 1:x
for j = 1:y
if (I(l,j,1) ~= 255 && I(l,j,2) ~= 255 && I(l,j,3) ~= 255)
aa = double([I(l,j,1) , I(l,j,2) , I(l,j,3)]);
[~,ee1] = ismember(aa,rgb_hist,'rows');
skin_rgb(ee1) = skin_rgb(ee1) + 1;
b1 = b1 + 1;
end
end
end
end
The output of the code is perfect. The issue is it is very slow. Inside the if loop the size of rgb_hist variable is 255.^3 x 3. Is there any way to get rid of the two nested for loops? As I am doing Image processing on high resolution image the variable x and y (different for each "i" iteration) have a big number in it.
Thank you
  2 Commenti
Walter Roberson
Walter Roberson il 11 Nov 2018
Is every possible combination in rgbhist?
Muhammad Farhan  Mughal
Muhammad Farhan Mughal il 11 Nov 2018
Yes, every possible combination is in rgb_hist.

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Risposta accettata

Bruno Luong
Bruno Luong il 11 Nov 2018
Modificato: Bruno Luong il 14 Nov 2018
skin_rgb = 0;
for i = [2000 : 2003,2008,2010:2011,2013:2015,2017:2018,2021,2024,2027:2041,2043,2045:2059,2061:2063]
I = imread(['skin_img',num2str(i),'.tif']);
RGB = reshape(double(I),[],3)+1;
skin_rgb = skin_rgb + accumarray(RGB,1,256+[0 0 0]);
end
skin_rgb = permute(skin_rgb,[3 2 1]);
skin_rgb = skin_rgb(:);

Più risposte (1)

Walter Roberson
Walter Roberson il 11 Nov 2018
skin_rgb = zeros(256.^3,1);
for i = [2000 : 2003, 2008, 2010:2011, 2013:2015, 2017:2018, 2021, 2024, 2027:2041, 2043, 2045:2059, 2061:2063]
I = imread(['skin_img',num2str(i),'.tif']);
r = 1 + double(I(:,:,1)); g = 1 + double(I(:,:,2)); b = 1 + double(I(:,:,3));
skin_rgb = skin_rgb + accumarray([r(:), g(:), b(:)], 1, [256.^3, 1]);
end
  15 Commenti
Bruno Luong
Bruno Luong il 14 Nov 2018
Modificato: Bruno Luong il 14 Nov 2018
Then your rgb_hist is wrong.
This test code returns 1 everytime
% Such simple generate thing that you never bother to post
[B,G,R] = ndgrid(1:256);
rgb_hist = [R(:),G(:),B(:)];
% Quick check for order
rgb_hist(1:10,:)
rgb_hist(end+(-9:0),:)
% Random data
I = floor(256*rand(100,100,3));
aa = 1 + [I(100,100,1),I(100,100,2),I(100,100,3)]
% Counting algo
skin_rgb = accumarray(aa,1,256+[0 0 0]);
skin_rgb = permute(skin_rgb,[3 2 1]);
skin_rgb = skin_rgb(:);
% Check
[a1,a2] = ismember(aa,rgb_hist,'rows');
skin_rgb(a2) % <- This returns correctly 1

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