Clear Filters
Clear Filters

Average H of hsv

1 view (last 30 days)
Xiaochao
Xiaochao on 11 Sep 2012
I want to divide a picture of 640*480 pixels to 16*16 blocks and get average value H of every block. The result shoud be a 40*30 array. But I tried mean function, the result always is a 1*16 array.
  1 Comment
Jan
Jan on 11 Sep 2012
Please post the code. It is impossible to debug "I tried mean function".

Sign in to comment.

Answers (3)

Rene
Rene on 11 Sep 2012
A = rand(480,640);
B=[];
for i=1:16:480
for j=1:16:640
B = [B,mean(mean(A(i:i+15,j:j+15)))];
end
end
B = reshape(B,30,40);
should do the trick
note: inefficient for large matrices

Jan
Jan on 11 Sep 2012
Exactly as I have posted in your other thread, which contains almost the same question:
H = rand(640, 480);
H = reshape(H, 16, 40, 16, 30);
blockMean = reshape(sum(sum(H, 1), 3), 40, 30) / 256;
  1 Comment
Xiaochao
Xiaochao on 11 Sep 2012
Thank you very much. The the code does work.I'm a new user and still learnt the functions

Sign in to comment.


Sean de Wolski
Sean de Wolski on 11 Sep 2012
Edited: Sean de Wolski on 11 Sep 2012
Why not use blockproc() like I suggested in the other thread? It will do this for you completely automagically - there is no reason to reinvent the wheel.
bm = blockproc(H,[16 16],@(blk)mean(blk.data(:)));
  4 Comments
Sean de Wolski
Sean de Wolski on 11 Sep 2012
0.06 seconds with a little more intelligence in anonymous function creation:
blksz = [16 16];
n = 16^2;
bm = blockproc(H,blksz,@(blk)sum(sum(blk.data))./n);
Jan
Jan on 11 Sep 2012
Ok, Sean. I admit one 640x480 picture is tiny. Then I claim that the Resahpe/Sum approach is simpler that Blockproc with an anonymous function. But this is not a convincing argument also: Both solutions can be used by copy&paste now, such that the "programming" will need a few seconds only.
I avoid to suggest the faster C-Mex function http://www.mathworks.com/matlabcentral/fileexchange/24812-blockmean, which I have published after the "mean over blocks"-questions have been written repeatedly. Here the speed advantage will be eaten up by the time reuquired to install the C-compiler...

Sign in to comment.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!