I have 256*256 image. I had converted into 4*4 blocks. Now I have 64 blocks. And also I had converted each 4X4 into 16X1 linear array. Now I have 256 linear arrays, each have 16*1. I want to calculate mean value of first 8 arrays, then next 8 array

I=imread('cameraman.tif');
I=double(I);
Im=size(I);
%find the size of the image
[nr nc nd]=size(I);
% Divide into blocks
disp(nr);
disp(nc);

% Divide into blocks
m=64;
n=64;
row=1;
column=1;
i=1;
j=1;
nn=0;
for i=1:4:nr-3

      for j=1:4:nc-3

        block=I(i:i+3,j:j+3);

        disp(block)
        %convert 4X4 into 16X1 column vector
        tv=reshape(block,16,1);
        disp(tv)

        column=column+4;
        %  R = blkproc(tv,[1 8],@(x) mean(x(:)))       
       end

     row=row+4;

end
%B=mean(tv,[])
%B=sepblockfun(I,[4,2],'mean');
disp(i)
disp(j)
R = blkproc(tv,[1 8],@(x) mean(x(:)))

[Matt J]

This is your 3rd time re-posting this. Please stop.

Answer 1

[Walter Roberson]

by_blocks = mat2cell(YourImage, 4 * repmat(1,64), 4 * repmat(1,64), size(YourImage, 3));
linear_by_blocks = cellfun(@(B) B(:), by_blocks, 'Uniform', 0);
means = arrayfun(@(idx) mean(horzcat(linear_by_blocks{idx:idx+7}),2), 1:8:numel(linear_by_blocks), 'Uniform', 0);