analysis
Class GrayLevelFeatureExtractor

java.lang.Object
  analysis.GrayLevelFeatureExtractor

public class GrayLevelFeatureExtractor
extends java.lang.Object

Extracts a high-dimensional feature array from a bitmap using a gray level co-occurrence matrix. Derived from work in "Steganalysis Using High-Dimensional Features Dervice from Co-occurrence Matrix..." (Xuan 2006)

Author:

Jonathan L Dautrich Jr.

Field Summary

private double[][]	avg
private Bitmap	bitmap
static int	D
private int	diagCount
private int[][]	down
private int[][]	downLeft
private int[][]	downRight
private boolean	extracted
private double[]	features
private double[][]	normalized
private int[][]	right

Constructor Summary

GrayLevelFeatureExtractor(Bitmap bitmap, int diagCount)

Method Summary

private void	buildNormalizedMatrix()
double[]	extract()
private void	extractFeatureVector()
private void	extractFeatureVector2()
double[][]	getMatrix()

Methods inherited from class java.lang.Object

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

Field Detail

bitmap

private Bitmap bitmap

D

public static final int D

See Also:

Constant Field Values

extracted

private boolean extracted

diagCount

private final int diagCount

right

private int[][] right

downRight

private int[][] downRight

down

private int[][] down

downLeft

private int[][] downLeft

avg

private double[][] avg

normalized

private double[][] normalized

features

private double[] features

Constructor Detail

GrayLevelFeatureExtractor

public GrayLevelFeatureExtractor(Bitmap bitmap,
                                 int diagCount)

Method Detail

extract

public double[] extract()

buildNormalizedMatrix

private void buildNormalizedMatrix()

extractFeatureVector

private void extractFeatureVector()

extractFeatureVector2

private void extractFeatureVector2()

getMatrix

public double[][] getMatrix()