I need to create a 3 by 3 window and calculate mean within the window. This window is to move through the image. How can I do it?
8 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I am new to MATLAB. This is what I have done. I got this from here and there online. Is there an efficient way of doin it?
Thank you
for i = side:p
for j = side:q
nhood_ctr = [i j];
nhood = im3((nhood_ctr(1)-floor(side/2)):(nhood_ctr(1)+floor(side/2)),(nhood_ctr(2)-floor(side/2)):(nhood_ctr(2)+floor(side/2)));
%size(nhood)
avg(i,j) = mean(mean(nhood));
sum = 0;
for k = (nhood_ctr(1)-floor(side/2)):(nhood_ctr(1)+floor(side/2))%i-2:i+2
for l = (nhood_ctr(2)-floor(side/2)):(nhood_ctr(2)+floor(side/2))%j-2:j+2
x = im3(k,l)- avg(i,j);
sum = sum + x*x;
end
end
igvm(i,j) = sum;
end
end
0 commentaires
Réponses (1)
Joseph Cheng
le 6 Avr 2017
I would take a look at the conv() and conv2() function. you would use something like [1 1 1;1 1 1;1 1 1]/9 to get mean. and then probably select 'same' or valid depending on how you want to treat the edges of the image
3 commentaires
Mohammed Abdul Wadood
le 13 Mai 2022
kernel = [1 1 1;1 1 1;1 1 1]/9 ;
averageImage = conv2(double(grayImage), kernel, 'same');
imshow(averageImage, []);
it is for calculate the average within the window, but what if I want to calculate euclidean distance insted of average, how can i solve this?
another quastion please, why you use (double) in
averageImage = conv2(double(grayImage), kernel, 'same');
if I split the image to (R, G & B) channel which it is gray channels, can I avoid (double)?
and the last question, what the purpose from ( [ ] ) in (imshow) step
imshow(averageImage, []);
sorry for annoyance and thank you so much
Voir également
Catégories
En savoir plus sur Image Processing Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
