Α-scale Space Kernels in Practice
نویسندگان
چکیده
Kernels of a so-called α-scale space ( 12 < α < 1) have the undesirable property that there is no closed-form representation in the spatial domain, despite their simple closedform expression in the Fourier domain. This obstructs a spatial convolution or recursive implementation. For this reason an approximation of the 2D α-kernel in the spatial domain is presented using the well known Gaussian kernel (α = 1) and the Poisson kernel (α = 12 ). Experiments show good results, with maximum relative errors of less than 2.4%.
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