Asked by FIR
on 19 Dec 2012

I have a 3x3 matrix, for example:

d=rand(3,3)

Now i want to implement the equation

V=1/2(d(q4,q5)+d(q5,q6))

where q5 is the centre pixel

q4,46 are neighbouring pixels

for example

d= q1 q2 q3

q4 q5 q6

q7 q8 q9

please assist

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Answer by Walter Roberson
on 19 Dec 2012

Accepted answer

Hard to tell. You might be asking for

oldMatrix = double(ImageMatrix); NewMatrix = ( oldMatrix(:,1:end-1) + oldMatrix(:,2:end) ) ./ 2;

But perhaps your "d" matrix is trying to talk about weighting the pixel values ? If so then let w1 be the weight for what you showed as d(q4,q5), and let w2 be the weight for what you showe as d(q5,q6), and then

NewMatrix = ( w1 .* oldMatrix(:,1:end-1) + w2 .* oldMatrix(:,2:end) ) ./ 2;

Show 9 older comments

Walter Roberson
on 19 Dec 2012

I am not sure which version you used; I just noticed a typo in the absolute difference version. Corrected is

oldMatrix = double(ImageMatrix); NewMatrix = ( abs(oldMatrix(:,2:end-1,:) - oldMatrix(:,1:end-2,:)) + abs(oldMatrix(:,1:end-2,:) - oldMatrix(:,3:end,:)) ) ./ 2;

FIR
on 19 Dec 2012

Thanks walter

another thing i tought of doing it in a loop because ihave to replace some values so i tried for 7x7 from link

http://matlabbyexamples.blogspot.in/2011/12/median-filtering-using-matlab.html

in the code for 7x7 matrix

for i=2:6 for j=2:6 K= A(i-1:i+1,j-1:j+1); B(i,j)=median(K); end end

i get error

Subscripted assignment dimension mismatch.

Answer by Muruganandham Subramanian
on 19 Dec 2012

Edited by Muruganandham Subramanian
on 19 Dec 2012

d=ones(3); V=1/2*(d(d(2,2),d(2,2))+d(d(2,2),d(2,3)))

but, If you're using **rand()**, d(2,2),etc.. can't be accessible, if not using **ceil()** or **floor()**..Is this you want?

Show 4 older comments

Walter Roberson
on 19 Dec 2012

*value* of the pixel you labeled q4, and column index which is the *value* of the pixel you labeled q5.

Muruganandham Subramanian
on 19 Dec 2012

@FIR, I din't worked on images, anyway, by using **imread()** read your image and do the calculation

Answer by Image Analyst
on 19 Dec 2012

By chance do you mean just convolution with a [1 2 1]/4 kernel, where you take the average of the left pair of pixels and the right pair of pixels? If so, you'd need to extract each color plane first and then use conv2() to get the output image one color plane at a time.

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## 1 Comment

## Walter Roberson (view profile)

Direct link to this comment:http://www.mathworks.com/matlabcentral/answers/56951#comment_117982

q4 and q5 and so on are

valuesof those pixels?