de.lmu.ifi.dbs.jfeaturelib.features

Class MeanIntensityLocalBinaryPatterns

java.lang.Object

de.lmu.ifi.dbs.jfeaturelib.features.AbstractFeatureDescriptor

de.lmu.ifi.dbs.jfeaturelib.features.MeanIntensityLocalBinaryPatterns

All Implemented Interfaces:

Descriptor, FeatureDescriptor

public class MeanIntensityLocalBinaryPatterns
extends AbstractFeatureDescriptor

Patch-based local binary patterns.

Constructs histogram of binary patterns based on comparing the mean intensity of the 8-neighborhood of each pixel N_i in the patch to the mean intensity of the 8-neighborhood around the pixel in the center N_C. Each of the 8 mean intensities N_i is compared to the mean intensity N_C in the center, if N_i is smaller than N_C, N_i is assigned weight 0, else 1. The weights form a binary pattern by contactinating them in counter clockwise order, starting with the weight to the left of the pixel in the center.

Example:
Mean intensity patch:

    |  2 | 25 | 32 |
    | 24 | 23 |  9 |
    | 19 | 99 | 13 |
 

Weights:

    | 0 | 1 | 1 |
    | 1 |   | 0 |
    | 0 | 1 | 0 |
 

Binary pattern: 0b10100110

All pixels part of the 2-pixel wide margin are not considered due to incomplete 8-neighborhoods of these pixels.

References:

Author:

sebp

See Also:

MeanPatchIntensityDescriptor

Nested Class Summary

Nested classes/interfaces inherited from interface de.lmu.ifi.dbs.jfeaturelib.Descriptor

Descriptor.Supports

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_bins
protected double	m_histMax
protected double	m_histMin
protected MeanPatchIntensityHistogram	m_meanDescriptor

Fields inherited from class de.lmu.ifi.dbs.jfeaturelib.features.AbstractFeatureDescriptor

pcs

Fields inherited from interface de.lmu.ifi.dbs.jfeaturelib.Descriptor

DOES_ALL

Constructor Summary

Constructors

Constructor and Description
MeanIntensityLocalBinaryPatterns()

Method Summary

Methods

Modifier and Type	Method and Description
protected void	createPatchDescriptor(ij.process.ImageProcessor ip)
protected byte	getBinaryPattern(int x, int y)
String	getDescription() Returns a short plain Text description about the Descriptor and the semantics of the double array obtained from FeatureDescriptor.getFeatures().
double	getHistogramMax()
double	getHistogramMin()
int	getNumberOfBins()
void	run(ij.process.ImageProcessor ip) Start processing of this algorithm on the given image processor.
void	setHistogramRange(double min, double max) Set the minimum and maximum value that the histogram should consider.
void	setNumberOfBins(int bins) Set the number of bins of the histogram.
EnumSet<Descriptor.Supports>	supports() Determine the capabilities of this algorithm.

Methods inherited from class de.lmu.ifi.dbs.jfeaturelib.features.AbstractFeatureDescriptor

addData, addData, addData, addPropertyChangeListener, endProgress, firePropertyChange, getFeatures, getMask, inMask, setMask, setProperties, startProgress

Methods inherited from class java.lang.Object

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

Field Detail

m_bins

protected int m_bins

m_histMin

protected double m_histMin

m_histMax

protected double m_histMax

m_meanDescriptor

protected MeanPatchIntensityHistogram m_meanDescriptor

Constructor Detail

MeanIntensityLocalBinaryPatterns

public MeanIntensityLocalBinaryPatterns()

Method Detail

getDescription

public String getDescription()

Description copied from interface: FeatureDescriptor

Returns a short plain Text description about the Descriptor and the semantics of the double array obtained from FeatureDescriptor.getFeatures(). May return null if no description is implemented - even though this should be avoided by any means.

Returns:

semantic description of getFeatures or null.

supports

public EnumSet<Descriptor.Supports> supports()

Description copied from interface: Descriptor

Determine the capabilities of this algorithm.

Specified by:

supports in interface Descriptor

Overrides:

supports in class AbstractFeatureDescriptor

Returns:

the set of supported capabilities.

run

public void run(ij.process.ImageProcessor ip)

Description copied from interface: Descriptor

Start processing of this algorithm on the given image processor. Keep in mind that if the imageProcessor is changed, Supports.NoChanges must not be set. This is also the case even if only ImageProcessor.snapshot() is used.

createPatchDescriptor

protected void createPatchDescriptor(ij.process.ImageProcessor ip)

getBinaryPattern

protected byte getBinaryPattern(int x,
                    int y)

getNumberOfBins

public int getNumberOfBins()

setNumberOfBins

public void setNumberOfBins(int bins)

Set the number of bins of the histogram.

Parameters:

bins -

Throws:

IllegalArgumentException - if bins <= 0

getHistogramMin

public double getHistogramMin()

getHistogramMax

public double getHistogramMax()

setHistogramRange

public void setHistogramRange(double min,
                     double max)

Set the minimum and maximum value that the histogram should consider. If both min and max are set to zero (default), limits are retrieved from data.

Throws:

IllegalArgumentException - if min > max