# [−][src]Function arrayfire::gaussian_kernel

pub fn gaussian_kernel(    rows: i32,     cols: i32,     sigma_r: f64,     sigma_c: f64) -> Array<f32>

Creates a Gaussian Kernel.

This function creates a kernel of a specified size that contains a Gaussian distribution. This distribution is normalized to one. This is most commonly used when performing a Gaussian blur on an image. The function takes two sets of arguments, the size of the kernel (width and height in pixels) and the sigma parameters (for row and column) which effect the distribution of the weights in the y and x directions, respectively.

Changing sigma causes the weights in each direction to vary. Sigma is calculated internally as (0.25 * rows + 0.75) for rows and similarly for columns.

# Parameters

• rows is number of rows of kernel
• cols is number of cols of kernel
• sigma_r is standard deviation of rows
• sigma_c is standard deviation of cols

# Return Values

An Array with gaussian kernel values