Average H of hsv

1 Ansicht (letzte 30 Tage)
Xiaochao
Xiaochao am 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 Kommentar
Jan
Jan am 11 Sep. 2012
Please post the code. It is impossible to debug "I tried mean function".

Melden Sie sich an, um zu kommentieren.

Antworten (3)

Rene
Rene am 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 am 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 Kommentar
Xiaochao
Xiaochao am 11 Sep. 2012
Thank you very much. The the code does work.I'm a new user and still learnt the functions

Melden Sie sich an, um zu kommentieren.


Sean de Wolski
Sean de Wolski am 11 Sep. 2012
Bearbeitet: Sean de Wolski am 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 Kommentare
Sean de Wolski
Sean de Wolski am 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 am 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...

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Image Processing Toolbox finden Sie in Help Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by