2d convolution returns empty result
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I have an image matrix of size 512x512x3, for each pixel I would like to compute its weight as the average of the neighbouring pixels like below:
weight(y,x,:) = 0.25 * (I(y+1,x,:) + I(y-1,x,:) + I(y,x+1,:) + I(y,x-1,:))
I used the matlab conv2 function to avoid for loops, i.e.
kernel = [0,1,0;
1,0,1;
0,1,0]
weight = conv2(kernel, I)
As matlab uses zero padding for the convolution result, I would get the result of size 514x514. But I only want the parts that don't use zero padding:
weight = conv(kernel, I, 'valid')
Unfortunately, this returns empty result. Does anyone know how to solve this problem?
Thank you very much.
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Risposte (1)
Ameer Hamza
il 11 Mag 2020
Modificato: Ameer Hamza
il 11 Mag 2020
For 'valid' option, reverse the order of I and kernel
I2 = conv2(I, kernel, 'valid');
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