Catalano.Imaging.Tools

Class ConvolutionKernel

java.lang.Object

Catalano.Imaging.Tools.ConvolutionKernel

public final class ConvolutionKernel
extends java.lang.Object

Kernels for convolution filter.

Field Summary

Fields

Modifier and Type	Field and Description
static int[][]	Laplacian -1 -1 -1 -1 8 -1 -1 -1 -1
static int[][]	LaplacianOfGaussian 0 0 -1 0 0 0 -1 -2 -1 0 -1 -2 16 -2 -1 0 -1 -2 -1 0 0 0 -1 0 0
static int[][]	PrewittHorizontal 1 0 -1 1 0 -1 1 0 -1
static int[][]	PrewittVertical 1 1 1 0 0 0 -1 -1 -1
static int[][]	RobertsHorizontal 1 0 0 -1
static int[][]	RobertsVertical 0 1 -1 0
static int[][]	ScharrHorizontal 3 10 3 0 0 0 -3 -10 -3
static int[][]	ScharrVertical 3 0 -3 10 0 -10 3 0 -3
static int[][]	SmoothNoiseRobust_Horizontal Smooth Noise Robust (Horizontal).
static int[][]	SmoothNoiseRobust_Vertical Smooth Noise Robust (Vertical).
static int[][]	SobelCross3x3 -1 0 1 0 0 0 1 0 -1
static int[][]	SobelCross5x5 -1 -2 0 2 1 -2 -4 0 4 0 0 0 0 0 0 2 4 0 -4 -2 1 2 0 -2 -1
static int[][]	SobelHorizontal -1 -2 -1 0 0 0 1 2 1
static int[][]	SobelHorizontalSD3x3 1 2 1 -2 -4 -2 1 2 1
static int[][]	SobelHorizontalSD5x5 1 4 6 4 1 0 0 0 0 0 -2 -8 -12 -8 -2 0 0 0 0 0 1 4 6 4 1
static int[][]	SobelVertical -1 0 1 -2 0 2 -1 0 -1
static int[][]	SobelVerticalSD3x3 1 -2 1 2 -4 2 1 -2 1
static int[][]	SobelVerticalSD5x5 1 0 -2 0 1 4 0 -8 0 4 6 0 -12 0 6 4 0 -8 0 4 1 0 -2 0 1

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

Laplacian

public static int[][] Laplacian

-1 -1 -1
-1 8 -1
-1 -1 -1

SobelVertical

public static int[][] SobelVertical

-1 0 1
-2 0 2
-1 0 -1

SobelHorizontal

public static int[][] SobelHorizontal

-1 -2 -1
0 0 0
1 2 1

SobelCross3x3

public static int[][] SobelCross3x3

-1 0 1
0 0 0
1 0 -1

SobelCross5x5

public static int[][] SobelCross5x5

-1 -2 0 2 1
-2 -4 0 4 0
0 0 0 0 0
2 4 0 -4 -2
1 2 0 -2 -1

SobelHorizontalSD3x3

public static int[][] SobelHorizontalSD3x3

1 2 1
-2 -4 -2
1 2 1

SobelHorizontalSD5x5

public static int[][] SobelHorizontalSD5x5

1 4 6 4 1
0 0 0 0 0
-2 -8 -12 -8 -2
0 0 0 0 0
1 4 6 4 1

SobelVerticalSD3x3

public static int[][] SobelVerticalSD3x3

1 -2 1
2 -4 2
1 -2 1

SobelVerticalSD5x5

public static int[][] SobelVerticalSD5x5

1 0 -2 0 1
4 0 -8 0 4
6 0 -12 0 6
4 0 -8 0 4
1 0 -2 0 1

PrewittHorizontal

public static int[][] PrewittHorizontal

1 0 -1
1 0 -1
1 0 -1

PrewittVertical

public static int[][] PrewittVertical

1 1 1
0 0 0
-1 -1 -1

RobertsHorizontal

public static int[][] RobertsHorizontal

1 0
0 -1

RobertsVertical

public static int[][] RobertsVertical

0 1
-1 0

ScharrHorizontal

public static int[][] ScharrHorizontal

3 10 3
0 0 0
-3 -10 -3

ScharrVertical

public static int[][] ScharrVertical

3 0 -3
10 0 -10
3 0 -3

LaplacianOfGaussian

public static int[][] LaplacianOfGaussian

0 0 -1 0 0
0 -1 -2 -1 0
-1 -2 16 -2 -1
0 -1 -2 -1 0
0 0 -1 0 0

SmoothNoiseRobust_Horizontal

public static int[][] SmoothNoiseRobust_Horizontal

Smooth Noise Robust (Horizontal). This mask use 1/32 conv(mask) as weight. Combines isotropic noise suppression and precise gradient estimation. References: http://www.holoborodko.com/pavel/image-processing/edge-detection/

SmoothNoiseRobust_Vertical

public static int[][] SmoothNoiseRobust_Vertical

Smooth Noise Robust (Vertical). This mask use 1/32 conv(mask) as weight. Combines isotropic noise suppression and precise gradient estimation. References: http://www.holoborodko.com/pavel/image-processing/edge-detection/