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 comentarios
Walter Roberson
el 11 de Nov. de 2018
Is every possible combination in rgbhist?
Muhammad Farhan Mughal
el 11 de Nov. de 2018
Respuesta aceptada
Más respuestas (1)
Walter Roberson
el 11 de Nov. de 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 comentarios
Muhammad Farhan Mughal
el 12 de Nov. de 2018
Walter Roberson
el 12 de Nov. de 2018
Editada: Walter Roberson
el 12 de Nov. de 2018
skin_rgb = skin_rgb + accumarray([r(:), g(:), b(:)], 1, [256, 256, 256]);
And after the loop
skin_rgb = skin_rgb(:) ;
Muhammad Farhan Mughal
el 12 de Nov. de 2018
Bruno Luong
el 12 de Nov. de 2018
You'll notice my answer correct these two errors
Muhammad Farhan Mughal
el 14 de Nov. de 2018
Bruno Luong
el 14 de Nov. de 2018
256^3 = 16777216 is obviously not divisible by 3. So on earth you want to reshape in 3 columns???
Muhammad Farhan Mughal
el 14 de Nov. de 2018
Bruno Luong
el 14 de Nov. de 2018
The order depends on entirely on the content of rgb_hist that you never specify what's in and in which order. Question never correctly formulated.
Muhammad Farhan Mughal
el 14 de Nov. de 2018
Bruno Luong
el 14 de Nov. de 2018
Editada: Bruno Luong
el 14 de Nov. de 2018
Usually RGB values are in [0:255] range not [1:256]. Assuming the above rgb_hist is to be substracted by 1, on this case just change
skin_rgb = skin_rgb(:);
to
skin_rgb = permute(skin_rgb,[3 2 1]);
skin_rgb = skin_rgb(:);
Muhammad Farhan Mughal
el 14 de Nov. de 2018
Bruno Luong
el 14 de Nov. de 2018
Editada: Bruno Luong
el 14 de Nov. de 2018
Original RGB value starts from 0 ends at 255. This is the reason we add 1 before doing accumarray.
So skin_rgb(10,20,30) actually stores the number of image pixels that have the RGB = [09,19,29]
Muhammad Farhan Mughal
el 14 de Nov. de 2018
Bruno Luong
el 14 de Nov. de 2018
Editada: Bruno Luong
el 14 de Nov. de 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
Muhammad Farhan Mughal
el 14 de Nov. de 2018
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