edu.stanford.rsl.tutorial

Class DerivativeKernel

java.lang.Object

edu.stanford.rsl.tutorial.DerivativeKernel

All Implemented Interfaces:

GridKernel

public class DerivativeKernel
extends java.lang.Object
implements GridKernel

First part of the decomposition of the ramp filter into a first derivative and a Hilbert filter. See L. Zeng. "Medical Image Reconstruction: A Conceptual tutorial". 2009, page 28

Author:

akmaier

Constructor Summary

Constructors

Constructor and Description
DerivativeKernel()

Method Summary

Methods

Modifier and Type	Method and Description
void	applyToGrid(Grid1D input) Method to apply the kernel to a 1DGrid
static void	main(java.lang.String[] args)

Methods inherited from class java.lang.Object

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

Constructor Detail

DerivativeKernel

public DerivativeKernel()

Method Detail

applyToGrid

public void applyToGrid(Grid1D input)

Description copied from interface: GridKernel

Method to apply the kernel to a 1DGrid

Specified by:

applyToGrid in interface GridKernel

main

public static void main(java.lang.String[] args)

Parameters:

args -