# Implementing equation doe 3x3 matrix

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FIR el 19 de Dic. de 2012
I have a image below ,please tell how to implement the equation for a 3x3 matrix
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Matt J el 19 de Dic. de 2012
Editada: Matt J el 19 de Dic. de 2012
qVMF=median(q(:));
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Walter Roberson el 19 de Dic. de 2012
Editada: Walter Roberson el 19 de Dic. de 2012
Will the median necessarily be the one that minimizes the sums ? Wouldn't the pixel that is closest to the mean be the one that minimizes the sums ?
Matt J el 19 de Dic. de 2012
Editada: Matt J el 19 de Dic. de 2012
Yes, the median is the known solution to this problem, which you can also verify by comparing it with the output of the code in your Answer.
The mean minimizes the sum of squared differences.
It would get slightly complicated if there were an even number of pixels, because then the median wouldn't be attained at any of the q(i). Here, however, there are an odd number of pixels.

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### Más respuestas (1)

Walter Roberson el 19 de Dic. de 2012
[minsum, minidx] = min( sum(abs(bsxfun(@minus, q(:), q(:).'))) );
qVFM = q(minidx);
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