GaussianKernel: Gaussian Kernel

In tkatsuki/dipr: Digital Image Processing with R

Description

This function generates a Gaussian kernel of desired sizes, which might be useful for spatial and frequency filtering.

Usage

GaussianKernel(x, y, s = 20)

Arguments

x, y	Size of the kernel in x-axis and y-axis.
s	Standard deviation, sigma.

Value

Returns a matrix.

Author(s)

Yuichiro Hourai, [e-mail]

Takeo Katsuki, [e-mail]

Examples

 gauss9 <- GaussianKernel(9, 9, 5)
 display(normalize(gauss9))

tkatsuki/dipr documentation built on April 19, 2021, 7:18 p.m.