Catalano.Imaging.Texture

Class RunLengthFeatures

java.lang.Object

Catalano.Imaging.Texture.RunLengthFeatures

public final class RunLengthFeatures
extends java.lang.Object

Run-Length Metrics.

Method Summary

Modifier and Type	Method and Description
static double	GrayLevelDistribution(double[][] runMatrix, int numberPrimitives)
static double	GrayLevelNonUniformity(double[][] runMatrix, int numberPrimitives) This metric increases when gray-level outliers dominate the histogram.
static double	HighGrayLevelEmphasis(double[][] runMatrix, int numberPrimitives) Emphasis is orthogonal to LRE, and the metric increases when the texture is dominated by many runs of high gray value.
static double	LongRunEmphasis(double[][] runMatrix, int numberPrimitives) This metric increases when long runs dominate, for example, in textures with large homogeneous areas or coarse textures.
static double	LongRunHighGrayLevelEmphasis(double[][] runMatrix, int numberPrimitives) This is the complementary metric to SRLGE and increases with a combination of long, high-gray value runs.
static double	LongRunLowGrayLevelEmphasis(double[][] runMatrix, int numberPrimitives) Complementary to SRHGE, it increases when the texture is dominated by long runs that have low gray levels.
static double	LowGrayLevelEmphasis(double[][] runMatrix, int numberPrimitives) Emphasis is orthogonal to SRE, and the metric increases when the texture is dominated by many runs of low gray value.
static double	RunLenghtDistribution(double[][] runMatrix, int numberPrimitives)
static double	RunLengthNonUniformity(double[][] runMatrix, int numberPrimitives) This metric increases when few run-length outliers dominate the histogram.
static double	RunPercentage(double[][] runMatrix, int numberPossiblePrimitives) This metric provides information on the overall homogeneity of the histogram and is maximal when all runs are of unity length irrespective of the gray level.
static double	ShortRunEmphasis(double[][] runMatrix, int numberPrimitives) This metric increases when short runs dominate, for example, in fine-grained textures.
static double	ShortRunHighGrayLevelEmphasis(double[][] runMatrix, int numberPrimitives) This metric is orthogonal to SRLGE and LRHGE and increases when the texture is dominated by short runs with high intensity levels.
static double	ShortRunLowGrayLevelEmphasis(double[][] runMatrix, int numberPrimitives) This is a diagonal metric that combines SRE and LGRE.

Methods inherited from class java.lang.Object

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

Method Detail

ShortRunEmphasis

public static double ShortRunEmphasis(double[][] runMatrix,
                                      int numberPrimitives)

This metric increases when short runs dominate, for example, in fine-grained textures.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

LongRunEmphasis

public static double LongRunEmphasis(double[][] runMatrix,
                                     int numberPrimitives)

This metric increases when long runs dominate, for example, in textures with large homogeneous areas or coarse textures.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

LowGrayLevelEmphasis

public static double LowGrayLevelEmphasis(double[][] runMatrix,
                                          int numberPrimitives)

Emphasis is orthogonal to SRE, and the metric increases when the texture is dominated by many runs of low gray value.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

HighGrayLevelEmphasis

public static double HighGrayLevelEmphasis(double[][] runMatrix,
                                           int numberPrimitives)

Emphasis is orthogonal to LRE, and the metric increases when the texture is dominated by many runs of high gray value.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

ShortRunLowGrayLevelEmphasis

public static double ShortRunLowGrayLevelEmphasis(double[][] runMatrix,
                                                  int numberPrimitives)

This is a diagonal metric that combines SRE and LGRE. The metric increases when the texture is dominated by many short runs of low gray value.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

ShortRunHighGrayLevelEmphasis

public static double ShortRunHighGrayLevelEmphasis(double[][] runMatrix,
                                                   int numberPrimitives)

This metric is orthogonal to SRLGE and LRHGE and increases when the texture is dominated by short runs with high intensity levels.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

LongRunLowGrayLevelEmphasis

public static double LongRunLowGrayLevelEmphasis(double[][] runMatrix,
                                                 int numberPrimitives)

Complementary to SRHGE, it increases when the texture is dominated by long runs that have low gray levels.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

LongRunHighGrayLevelEmphasis

public static double LongRunHighGrayLevelEmphasis(double[][] runMatrix,
                                                  int numberPrimitives)

This is the complementary metric to SRLGE and increases with a combination of long, high-gray value runs.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

GrayLevelNonUniformity

public static double GrayLevelNonUniformity(double[][] runMatrix,
                                            int numberPrimitives)

This metric increases when gray-level outliers dominate the histogram.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

RunLengthNonUniformity

public static double RunLengthNonUniformity(double[][] runMatrix,
                                            int numberPrimitives)

This metric increases when few run-length outliers dominate the histogram.

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

GrayLevelDistribution

public static double GrayLevelDistribution(double[][] runMatrix,
                                           int numberPrimitives)

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

RunLenghtDistribution

public static double RunLenghtDistribution(double[][] runMatrix,
                                           int numberPrimitives)

Parameters:

runMatrix - Run length matrix.

numberPrimitives - Number of primitives.

Returns:

RunPercentage

public static double RunPercentage(double[][] runMatrix,
                                   int numberPossiblePrimitives)

This metric provides information on the overall homogeneity of the histogram and is maximal when all runs are of unity length irrespective of the gray level.

Parameters:

runMatrix - Run length matrix.

numberPossiblePrimitives - Number of primitives.

Returns: