If we sample the Gaussian function in two dimensions to create a convolution kernel, we get this (Again, the output has been brightened for clarity, and the values are given fractionally so the ...

Step 1. Noise reduction (Gaussian blur) Edge detection is affected by noise, so first we smooth out the image. The selection of the size of the Gaussian kernel with affect the performance of the edge ...

We discuss the issues that arise when dealing with spherical data sets on a global scale and provide references to recent literature. We review the current approaches to building process models on ...

An asymptotic convolution property for the generalized inverse Gaussian distribution with λ < 0 is proved. This result is applied to calculate the probability of ruin in the general risk model when ...