de.lmu.ifi.dbs.jfeaturelib.shapeFeatures

Class ExtremalPoints

java.lang.Object

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

de.lmu.ifi.dbs.jfeaturelib.shapeFeatures.ExtremalPoints

All Implemented Interfaces:

Descriptor, FeatureDescriptor

public class ExtremalPoints
extends AbstractFeatureDescriptor

Computes extremal points according to "Bryan S. Morse (2000): Lecture 9: Shape Description (Regions), Brigham Young University, Available from: http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MORSE/region-props-and-moments.pdf".

Since:

09/29/2012

Author:

Johannes Stadler

Nested Class Summary

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

Descriptor.Supports

Field Summary

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
ExtremalPoints()

Method Summary

Methods

Modifier and Type	Method and Description
double	distance(int x1, int y1, int x2, int y2)
String	getDescription() Returns a short plain Text description about the Descriptor and the semantics of the double array obtained from FeatureDescriptor.getFeatures().
void	run(ij.process.ImageProcessor ip) Start processing of this algorithm on the given image processor.

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

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

Methods inherited from class java.lang.Object

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

Constructor Detail

ExtremalPoints

public ExtremalPoints()

Method Detail

distance

public double distance(int x1,
              int y1,
              int x2,
              int y2)

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.

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.