net.semanticmetadata.lire.imageanalysis.features.global

类 Gabor

java.lang.Object

net.semanticmetadata.lire.imageanalysis.features.global.Gabor

所有已实现的接口:

Extractor, FeatureVector, GlobalFeature, LireFeature

public class Gabor
extends java.lang.Object
implements GlobalFeature

Implementation of a Gabor texture features done by Marko Keuschnig & Christian Penz
Fixed 2011-05-10 based on the comments of Arthur Lin.

构造器概要

构造器

构造器和说明
Gabor()

方法概要

限定符和类型	方法和说明
void	extract(java.awt.image.BufferedImage bimg) Extracts the feature vector from a BufferedImage.
byte[]	getByteArrayRepresentation() Returns a compact byte[] based representation of the feature vector.
double	getDistance(double[] targetFeatureVector, double[] queryFeatureVector)
double	getDistance(LireFeature vd) The distance function for this type of feature
double[]	getFeature(java.awt.image.BufferedImage image)
java.lang.String	getFeatureName() Gives a descriptive name of the feature, i.e. a name to show up in benchmarks, menus, UIs, etc.
double[]	getFeatureVector() Convenience method to get the feature vector as double[] array.
java.lang.String	getFieldName() Returns the preferred field name for indexing.
double[]	getNormalizedFeature(java.awt.image.BufferedImage image)
java.awt.image.BufferedImage	grayscale(java.awt.image.BufferedImage source)
double[]	normalize(double[] featureVector)
void	setByteArrayRepresentation(byte[] in) Sets the feature vector values based on the byte[] data.
void	setByteArrayRepresentation(byte[] in, int offset, int length) Sets the feature vector values based on the byte[] data.

从类继承的方法 java.lang.Object

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

构造器详细资料

Gabor

public Gabor()

方法详细资料

getDistance

public double getDistance(double[] targetFeatureVector,
                          double[] queryFeatureVector)

getNormalizedFeature

public double[] getNormalizedFeature(java.awt.image.BufferedImage image)

normalize

public double[] normalize(double[] featureVector)

grayscale

public java.awt.image.BufferedImage grayscale(java.awt.image.BufferedImage source)

getFeature

public double[] getFeature(java.awt.image.BufferedImage image)

extract

public void extract(java.awt.image.BufferedImage bimg)

从接口复制的说明: Extractor

Extracts the feature vector from a BufferedImage.

指定者:

extract 在接口中 Extractor

参数:

bimg - the source image

getByteArrayRepresentation

public byte[] getByteArrayRepresentation()

从接口复制的说明: LireFeature

Returns a compact byte[] based representation of the feature vector.

指定者:

getByteArrayRepresentation 在接口中 LireFeature

返回:

a compact byte[] array containing the feature vector.

另请参阅:

LireFeature.setByteArrayRepresentation(byte[])

setByteArrayRepresentation

public void setByteArrayRepresentation(byte[] in)

从接口复制的说明: LireFeature

Sets the feature vector values based on the byte[] data. Use LireFeature.getByteArrayRepresentation() to generate a compatible byte[] array.

指定者:

setByteArrayRepresentation 在接口中 LireFeature

参数:

in - the byte[] data.

另请参阅:

LireFeature.getByteArrayRepresentation()

setByteArrayRepresentation

public void setByteArrayRepresentation(byte[] in,
                                       int offset,
                                       int length)

从接口复制的说明: LireFeature

Sets the feature vector values based on the byte[] data. Use LireFeature.getByteArrayRepresentation() to generate a compatible byte[] array.

指定者:

setByteArrayRepresentation 在接口中 LireFeature

参数:

in - the byte[] array containing the data.

offset - the offset, i.e. where the feature vector starts.

length - the length of the data representing the feature vector.

另请参阅:

LireFeature.getByteArrayRepresentation()

getFeatureVector

public double[] getFeatureVector()

从接口复制的说明: FeatureVector

Convenience method to get the feature vector as double[] array. This method is used by classifiers, etc.

指定者:

getFeatureVector 在接口中 FeatureVector

返回:

the feature vector as a double[] array.

getDistance

public double getDistance(LireFeature vd)

从接口复制的说明: LireFeature

The distance function for this type of feature

指定者:

getDistance 在接口中 LireFeature

参数:

vd - the feature vector to compare the current instance to.

返回:

the distance (or dissimilarity) between the instance and the parameter.

getFeatureName

public java.lang.String getFeatureName()

从接口复制的说明: LireFeature

Gives a descriptive name of the feature, i.e. a name to show up in benchmarks, menus, UIs, etc.

指定者:

getFeatureName 在接口中 LireFeature

返回:

the name of the feature.

getFieldName

public java.lang.String getFieldName()

从接口复制的说明: LireFeature

Returns the preferred field name for indexing.

指定者:

getFieldName 在接口中 LireFeature

返回:

the field name preferred for indexing in a Lucene index.