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 ? |
well.... not a nerd.... but i've done some filter things..... what you lookin for?
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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? |
uhhh.. ??
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Originally Posted by Red X
(Post 3151189)
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? |
i dont think so :hsdunno:
that seems like a realy complicated way to use a blur.... are you just trying to mask it? |
Originally Posted by ReVenGe
(Post 3151218)
i dont think so :hsdunno:
that seems like a realy complicated way to use a blur.... are you just trying to mask it? |
Originally Posted by Red X
(Post 3151189)
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? i think if that had been written in mandarin chinesse, i would have almost the same comprehension level of all that sefl-:owned: LOL |
Originally Posted by Red X
(Post 3151189)
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? |
You an EE major or somethin?
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