Averaging Matrix and store it in a new matrix
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Assuming i have a 125x125 image. and i want to create new matrices where each point consists of the average of the surrounding 8 points and itself. but ignoring the average for the pixels on the edge for simplicity.
x = imread('image.png');
[rows,cols] = size(x);
for r = 1:rows;
for c = 1:cols;
%it does not seem working by using to inbult mean function here since its a m x n matrix i want to calculate.
end
end
so for example, i have a matrix of
x = [1 2 3 4; 5 6 7 8; 9 10 11 12;13 14 15 16]
m = x(1:3,2:4)
z = mean(x(1:3, 2:4))
---------------------------------
x =
1 2 3 4
5 6 7 8
9 10 11 12
13 14 15 16
m =
2 3 4
6 7 8
10 11 12
z =
6 7 8
but what i really want of z is z = (2+3+4+6+7+8+10+11+12)/9 = 7 is there anyway to do this?
1 Comment
Answers (4)
Daniel Shub
on 18 May 2012
Assuming your data x is N x M and not a color image
y = conv2(x, ones(3, 3) / 9, 'same');
6 Comments
Daniel Shub
on 18 May 2012
@IA and Sean, I meant SAME and not VALID. While newbie wanted to ignore the edges for simplicity, I wanted to show that the edges could be handled.
Image Analyst
on 18 May 2012
Try this:
% Get the average, avoiding any edge effects due to partial masking.
outputArray = conv2(inputArray, ones(3)/9, 'valid');
% Now get "z" which they defined as the mean
% of each column (averaging going down the rows)
z = mean(outputArray, 1);
% Get their second definition of z
% which is the mean of all the elements in their first z:
z = mean(z);
But isn't this second z just the same as
z = mean2(x(2:end-1, 2:end-1));
????? It gives a single number that is the mean of x ignoring the edge rows and edge columns.
Daniel Shub
on 18 May 2012
Assuming you really want to do this with loops and mean, presumably for homework, you are on the correct track. Te thing you missed is the the mean of 6 7 8 is 7, the answer you want. S just replace
z = mean(x(1:3, 2:4))
with
z = mean(mean(x(1:3, 2:4)))
or even better
z = mean(m(:))
1 Comment
Sean de Wolski
on 18 May 2012
If you have to use loops:
for ii = 1:1
y = conv2(x, ones(3, 3) / 9, 'same');
end
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