volume
Class DoG

java.lang.Object
  |
  +--volume.Kernel
        |
        +--volume.Kernel1D
              |
              +--volume.Gaussian
                    |
                    +--volume.DoG

public class DoG

extends Gaussian

This is a 1D Difference of Gaussian convolution kernel. DoG(x) = 1 / Math.sqrt(2 Math.PI * sigma^2) e^(-x^2 / 2 sigma^2) - 1 / Math.sqrt(2 Math.PI * (1.6 sigma)^2) e^(-x^2 / 2 (1.6 sigma)^2)

Fields inherited from class volume.Gaussian

sigma

Fields inherited from class volume.Kernel1D

k

Fields inherited from class volume.Kernel

halfwidth

Constructor Summary

DoG(double sigma)
Create a Difference of Gaussian kernel from standard deviation sigma.

Method Summary

protected double	function(double x) Compute Difference of Gaussian function at x.
java.lang.String	toString()

Methods inherited from class volume.Gaussian

getSigma

Methods inherited from class volume.Kernel1D

kernelToString

Methods inherited from class volume.Kernel

support

Methods inherited from class java.lang.Object

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

Constructor Detail

DoG

public DoG(double sigma)

Create a Difference of Gaussian kernel from standard deviation sigma.

Parameters:

sigma, - the standard deviation of the associated probability function of the Gaussian function.

Method Detail

function

protected double function(double x)

Compute Difference of Gaussian function at x.

Overrides:

function in class Gaussian

Following copied from class: volume.Gaussian

Parameters:

x - the x position

Returns:

a double with the value of the Gaussian at x.

toString

public java.lang.String toString()

Overrides:

toString in class Gaussian