com.pearsoneduc.ip.op
Class MeanKernel

java.lang.Object
  |
  +--java.awt.image.Kernel
        |
        +--com.pearsoneduc.ip.op.StandardKernel
              |
              +--com.pearsoneduc.ip.op.MeanKernel

public class MeanKernel
extends StandardKernel

A Kernel to compute a local mean.

Version:
1.1 [1999/07/29]
Author:
Nick Efford

Constructor Summary
MeanKernel()
          Constructs a MeanKernel with the default dimensions of 3x3.
MeanKernel(int w, int h)
          Constructs a MeanKernel with the specified dimensions.
 
Method Summary
static float[] createKernelData(int w, int h)
          Calculates normalised kernel coefficients for a mean filter.
static void main(java.lang.String[] argv)
          Creates a MeanKernel and prints it on standard output.
 
Methods inherited from class com.pearsoneduc.ip.op.StandardKernel
createKernel, createKernel, getFractionDigits, setFractionDigits, toString, write
 
Methods inherited from class java.awt.image.Kernel
clone, getHeight, getKernelData, getWidth, getXOrigin, getYOrigin
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

MeanKernel

public MeanKernel()
Constructs a MeanKernel with the default dimensions of 3x3.

MeanKernel

public MeanKernel(int w,
                  int h)
Constructs a MeanKernel with the specified dimensions.
Parameters:
w - width of kernel
h - height of kernel
Method Detail

createKernelData

public static float[] createKernelData(int w,
                                       int h)
Calculates normalised kernel coefficients for a mean filter.
Parameters:
w - width of kernel
h - height of kernel
Returns:
array of kernel coeffients.

main

public static void main(java.lang.String[] argv)
Creates a MeanKernel and prints it on standard output.