Any image processing nerds?
#1
x pǝɹ
Thread Starter
Any image processing nerds?
This is a long-shot - but anyone in here familiar with Matlab and/or image processing techniques:
specifically - Filters (Gaussian, Laplacian), Edge detection ?
specifically - Filters (Gaussian, Laplacian), Edge detection ?
#3
x pǝɹ
Thread Starter
I need to implement a derivative of Gaussian function for a 2d image. I'm returning the derivative in the x and y directions.. My question is, do the arrays have to be the same size after I convolute the kernel with the matrice in the x and then in the y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
#5
lots and lots of fail
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I need to implement a derivative of Gaussian function for a 2d image. I'm returning the derivative in the x and y directions.. My question is, do the arrays have to be the same size after I convolute the kernel with the matrice in the x and then in the y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
#7
x pǝɹ
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#8
aka Heywoodjablowme
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I need to implement a derivative of Gaussian function for a 2d image. I'm returning the derivative in the x and y directions.. My question is, do the arrays have to be the same size after I convolute the kernel with the matrice in the x and then in the y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
i think if that had been written in mandarin chinesse, i would have almost the same comprehension level of all that
sefl-wned:
LOL
#9
BAZINGA!
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I need to implement a derivative of Gaussian function for a 2d image. I'm returning the derivative in the x and y directions.. My question is, do the arrays have to be the same size after I convolute the kernel with the matrice in the x and then in the y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?
Convoluting the x and y just means convoluting each individual row with the kernel for x, and column for y?