com.alkacon.simapi.filter

Class Kernel

java.lang.Object

com.alkacon.simapi.filter.Kernel

public class Kernel
extends java.lang.Object

A convolution kernel.

Author:

Jerry Huxtable

Field Summary

Fields

Modifier and Type	Field and Description
int	cols
static float[]	EDGE_LAPLACE1
static float[]	EDGE_LAPLACE2
static float[]	FREI_CHEN_H
static float[]	FREI_CHEN_V
float[]	matrix
static float[]	PREWITT_H
static float[]	PREWITT_V
static float	R2
static float[]	ROBERTS_H
static float[]	ROBERTS_V
int	rows
static float[]	SOBEL_H
static float[]	SOBEL_V
int	xCentre
int	yCentre

Constructor Summary

Constructors

Constructor and Description
Kernel() Construct a null kernel.
Kernel(float[] matrix) Construct a kernel with the given 3x3 matrix.
Kernel(int rows, int cols, float[] matrix) Construct a kernel with the given matrix.
Kernel(int rows, int cols, int xCentre, int yCentre, float[] matrix) Construct a kernel with the given matrix.

Method Summary

Methods

Modifier and Type	Method and Description
float[]	getMatrix()
void	normalize() Normalize a convolution kernel.
void	setMatrix(float[] matrix) Set the (3x3) convolution kernel.
void	setMatrix(int rows, int cols, float[] matrix) Set the convolution kernel.
void	setMatrix(int rows, int cols, int xCentre, int yCentre, float[] matrix) Set the convolution kernel.

Methods inherited from class java.lang.Object

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

Field Detail

R2

public static final float R2

ROBERTS_V

public static final float[] ROBERTS_V

ROBERTS_H

public static final float[] ROBERTS_H

PREWITT_V

public static final float[] PREWITT_V

PREWITT_H

public static final float[] PREWITT_H

SOBEL_V

public static final float[] SOBEL_V

SOBEL_H

public static float[] SOBEL_H

FREI_CHEN_V

public static final float[] FREI_CHEN_V

FREI_CHEN_H

public static float[] FREI_CHEN_H

EDGE_LAPLACE1

public static float[] EDGE_LAPLACE1

EDGE_LAPLACE2

public static float[] EDGE_LAPLACE2

matrix

public float[] matrix

rows

public int rows

cols

public int cols

xCentre

public int xCentre

yCentre

public int yCentre

Constructor Detail

Kernel

public Kernel()

Construct a null kernel. This is only useful if you're going to change the kernel later on.

Kernel

public Kernel(float[] matrix)

Construct a kernel with the given 3x3 matrix.

Parameters:

matrix - an array of 9 floats containing the kernel

Kernel

public Kernel(int rows,
      int cols,
      float[] matrix)

Construct a kernel with the given matrix.

Parameters:

rows - the number of rows in the kernel

cols - the number of columns in the kernel

matrix - an array of rows*cols floats containing the kernel

Kernel

public Kernel(int rows,
      int cols,
      int xCentre,
      int yCentre,
      float[] matrix)

Construct a kernel with the given matrix.

Parameters:

rows - the number of rows in the kernel

cols - the number of columns in the kernel

xCentre - the centre of the kernel in the x direction

yCentre - the centre of the kernel in the y direction

matrix - an array of rows*cols floats containing the kernel

Method Detail

setMatrix

public void setMatrix(float[] matrix)

Set the (3x3) convolution kernel.

Parameters:

matrix - an array of 9 floats containing the kernel

setMatrix

public void setMatrix(int rows,
             int cols,
             float[] matrix)

Set the convolution kernel.

Parameters:

rows - the number of rows in the kernel

cols - the number of columns in the kernel

matrix - an array of rows*cols floats containing the kernel

setMatrix

public void setMatrix(int rows,
             int cols,
             int xCentre,
             int yCentre,
             float[] matrix)

Set the convolution kernel.

Parameters:

rows - the number of rows in the kernel

cols - the number of columns in the kernel

xCentre - the centre of the kernel in the x direction

yCentre - the centre of the kernel in the y direction

matrix - an array of rows*cols floats containing the kernel

getMatrix

public float[] getMatrix()

normalize

public void normalize()

Normalize a convolution kernel. You can call this to normalize a kernel you've created by hand.

Parameters:

matrix - the kernel