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M-point averaging filter

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Sarah Maas
Sarah Maas on 17 Apr 2021
Commented: Image Analyst on 17 Apr 2021
I need to implement a one-dimensional M-point averaging filter for a matrix consisting of values (pixels of an image) between 0 and 1, such that each pixel value is replaced by the equal-weighted average of its (M 1)/2 neighbors to its left, (M 1)/2 neighbors to its right, and the pixel value itself.
For instance, for M = 3, it would be like:
y[n,m]= 1/3 (x[n,m1] + x[n,m] + x[n,m+1])
Please help me out with this. Thank you.
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Accepted Answer

the cyclist
the cyclist on 17 Apr 2021
Edited: the cyclist on 17 Apr 2021
You should be able to use the movmean function. For example:
% Define some data
A = reshape(1:15,3,5);
% Take the moving average of 3 elements, across the rows.
movmean(A,3,2)
ans = 3×5
2.5000 4.0000 7.0000 10.0000 11.5000 3.5000 5.0000 8.0000 11.0000 12.5000 4.5000 6.0000 9.0000 12.0000 13.5000

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