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Class com.jhlabs.image.Kernel 

java.lang.Object
   |
   +----com.jhlabs.image.Kernel
public class Kernel
extends java.lang.Object
A convolution kernel.

Variable Index

o cols
o EDGE_LAPLACE1
o EDGE_LAPLACE2
o FREI_CHEN_H
o FREI_CHEN_V
o matrix
o PREWITT_H
o PREWITT_V
o R2
o ROBERTS_H
o ROBERTS_V
o rows
o SOBEL_H
o SOBEL_V
o xCentre
o yCentre

Constructor Index

o Kernel()
Construct a null kernel.
o Kernel(double[])
Construct a kernel with the given 3x3 matrix.
o Kernel(int, int, double[])
Construct a kernel with the given matrix.
o Kernel(int, int, int, int, double[])
Construct a kernel with the given matrix.

Method Index

o getMatrix()
o normalize()
Normalize a convolution kernel.
o setMatrix(double[])
Set the (3x3) convolution kernel.
o setMatrix(int, int, double[])
Set the convolution kernel.
o setMatrix(int, int, int, int, double[])
Set the convolution kernel.

Variables

o R2 
 public static final double R2
o ROBERTS_V 
 public static final double ROBERTS_V[]
o ROBERTS_H 
 public static final double ROBERTS_H[]
o PREWITT_V 
 public static final double PREWITT_V[]
o PREWITT_H 
 public static final double PREWITT_H[]
o SOBEL_V 
 public static final double SOBEL_V[]
o SOBEL_H 
 public static double SOBEL_H[]
o FREI_CHEN_V 
 public static final double FREI_CHEN_V[]
o FREI_CHEN_H 
 public static double FREI_CHEN_H[]
o EDGE_LAPLACE1 
 public static double EDGE_LAPLACE1[]
o EDGE_LAPLACE2 
 public static double EDGE_LAPLACE2[]
o matrix 
 public double matrix[]
o rows 
 public int rows
o cols 
 public int cols
o xCentre 
 public int xCentre
o yCentre 
 public int yCentre

Constructors

o Kernel 
 public Kernel()
Construct a null kernel. This is only useful if you're going to change the kernel later on.

o Kernel 
 public Kernel(double matrix[])
Construct a kernel with the given 3x3 matrix.

Parameters:
matrix - an array of 9 doubles containing the kernel
o Kernel 
 public Kernel(int rows,
               int cols,
               double 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 doubles containing the kernel
o Kernel 
 public Kernel(int rows,
               int cols,
               int xCentre,
               int yCentre,
               double 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 doubles containing the kernel

Methods

o setMatrix 
 public void setMatrix(double matrix[])
Set the (3x3) convolution kernel.

Parameters:
matrix - an array of 9 doubles containing the kernel
o setMatrix 
 public void setMatrix(int rows,
                       int cols,
                       double 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 doubles containing the kernel
o setMatrix 
 public void setMatrix(int rows,
                       int cols,
                       int xCentre,
                       int yCentre,
                       double 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 doubles containing the kernel
o getMatrix 
 public double[] getMatrix()
o 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 
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