Package org.joml.sampling

Class Convolution

java.lang.Object

org.joml.sampling.Convolution

public class Convolution
extends Object

Generates various convolution kernels.

Author:

Kai Burjack

Constructor Summary

Constructors

Constructor	Description
Convolution()

Method Summary

Modifier and Type	Method	Description
static void	gaussianKernel(int rows, int cols, float sigma, float[] dest)	Generate a Gaussian convolution kernel with the given number of rows and columns, and store the factors in row-major order in dest.
static void	gaussianKernel(int rows, int cols, float sigma, FloatBuffer dest)	Generate a Gaussian convolution kernel with the given number of rows and columns, and store the factors in row-major order in dest.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Convolution

public Convolution()

Method Details

gaussianKernel

public static void gaussianKernel(int rows,
 int cols,
 float sigma,
 FloatBuffer dest)

Generate a Gaussian convolution kernel with the given number of rows and columns, and store the factors in row-major order in dest.

Parameters:

rows - the number of rows (must be an odd number)

cols - the number of columns (must be an odd number)

sigma - the standard deviation of the filter kernel values

dest - will hold the kernel factors in row-major order

gaussianKernel

public static void gaussianKernel(int rows,
 int cols,
 float sigma,
 float[] dest)

Generate a Gaussian convolution kernel with the given number of rows and columns, and store the factors in row-major order in dest.

Parameters:

rows - the number of rows (must be an odd number)

cols - the number of columns (must be an odd number)

sigma - the standard deviation of the filter kernel values

dest - will hold the kernel factors in row-major order