Version 1 (modified by 16 years ago) (diff) | ,
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Gaussian kernels
The usual way to create a Gaussian kernel is to evaluate a Gaussian function at the center of each cell:
k[i][j] = exp(-(i²+j²)/2σ)
This usually works well, except when the kernel is thin (σ < 1). It gets worse when using our generalised kernel:
k[i][j] = exp(-((i×cosθ-j×sinθ-dx)²+(j×cosθ+i×sinθ-dy)²)/2σ)