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what are you going to use edge detection for? it might just be easier to change it to a vector image? or am i going in the wrong direction
Its part of my computer vision course. Unfortunately I have not taken image processing which is a semi-pre-requisite so I'm trying to figure it out on my own.
And I'm Computer Engineering (Digital Electronic Engineer).
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?
No, the arrays do not have to be the same size after you convolute the kernel with the matrice in the x and then in the y as long as your flux capacitor is calibrated for the kernel.