how to divide an image into blocks

an image shoud be divided into several blocks of 8 by 8 pixel

4 Comments

  1. Read the image.
  2. Image is divided in to sub-blocks of size M x N
  3. For each sub block, standard deviation is calculated to increase intensity of image object.
  4. Global threshold is applied for each sub block which has standard deviation as greater than one.
  5. The above process is repeated for each and every sub block of entire image.
Help me out for this.
You never ran my demos I attached below, did you?
done but for road detection project i just need to make an image of 0's n 1's of roaads and non roads parts... how can i do that? can u give me a clear explanation.. im beginner in matlab so..
You should open a new question for that, showing some sample images, and showing the work you have done.

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 Accepted Answer

Anushka
Anushka on 16 Jun 2015
Edited: Walter Roberson on 10 Feb 2017
J = imresize(M1, [256 256]);
[r c]=size(J);
bs=32; % Block Size (32x32)
nob=64 % Total number of 32x32 Blocks
% Dividing the image into 32x32 Blocks
kk=0;
l=0;
[F]=zeros(1,64);
%[B0]=zeros(32,32);
for i=1:(r/bs)
for j=1:(c/bs)
B0=J((bs*(i-1)+1:bs*(i-1)+bs),(bs*(j-1)+1:bs*(j-1)+bs),3);
end
kk=kk+(r/bs);
end
% And to get the RGB values I used the following code
for x=1:32
for y=1:32
R=B0(x,y,1);
G=B0(x,y,2);
B=B0(x,y,3);
end
end

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