Discover MakerZone

MATLAB and Simulink resources for Arduino, LEGO, and Raspberry Pi

Learn more

Discover what MATLAB® can do for your career.

Opportunities for recent engineering grads.

Apply Today

New to MATLAB?

Implementing equation doe 3x3 matrix

Asked by FIR

FIR (view profile)

on 19 Dec 2012
Accepted Answer by Matt J

Matt J (view profile)

I have a image below ,please tell how to implement the equation for a 3x3 matrix

http://imgur.com/6NO9M

please assist

0 Comments

FIR

FIR (view profile)

Tags

Products

No products are associated with this question.

2 Answers

Answer by Matt J

Matt J (view profile)

on 19 Dec 2012
Edited by Matt J

Matt J (view profile)

on 19 Dec 2012
Accepted answer
qVMF=median(q(:));

2 Comments

Walter Roberson

Walter Roberson (view profile)

on 19 Dec 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

Matt J (view profile)

on 19 Dec 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.

Matt J

Matt J (view profile)

Answer by Walter Roberson

Walter Roberson (view profile)

on 19 Dec 2012
[minsum, minidx] = min( sum(abs(bsxfun(@minus, q(:), q(:).'))) );
qVFM = q(minidx);

0 Comments

Walter Roberson

Walter Roberson (view profile)

Contact us