de.lmu.ifi.dbs.jfeaturelib.pointDetector

Class TrajkovicHedley4N

java.lang.Object

de.lmu.ifi.dbs.jfeaturelib.pointDetector.TrajkovicHedley4N

All Implemented Interfaces:

Descriptor, PointDetector

public class TrajkovicHedley4N
extends Object
implements PointDetector

Trajkovic and Hedley Corner Detector. This Implementation does not yet use a Besenham Circle for the Points. This is a simpler Algorithm which only uses 4 neighbours, like the Algorithm from Donovan Parks and Jean-Philippe Gravel. See http://kiwi.cs.dal.ca/~dparks/CornerDetection/trajkovic.htm and http://en.wikipedia.org/wiki/Corner_detection#The_Trajkovic_and_Hedley_corner_detector for further information. *

Author:

Robert Zelhofer

Nested Class Summary

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

Descriptor.Supports

Field Summary

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

DOES_ALL

Constructor Summary

Constructors

Constructor and Description
TrajkovicHedley4N() Creates Trajkovic and Hedley Corner Detector with defauult values: distance = 1 threshold1 = 500 threshold2 = 500 scale = 2
TrajkovicHedley4N(int distance, int threshold1, int threshold2, int scale) Creates Trajkovic and Hedley Corner Detector

Method Summary

Methods

Modifier and Type	Method and Description
void	addPropertyChangeListener(PropertyChangeListener listener) Adds a change listener to this descriptor.
List<ImagePoint>	getPoints()
void	run(ij.process.ImageProcessor ip) Start processing of this algorithm on the given image processor.
EnumSet<Descriptor.Supports>	supports() Determine the capabilities of this algorithm.

Methods inherited from class java.lang.Object

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

Constructor Detail

TrajkovicHedley4N

public TrajkovicHedley4N()

Creates Trajkovic and Hedley Corner Detector with defauult values: distance = 1 threshold1 = 500 threshold2 = 500 scale = 2

TrajkovicHedley4N

public TrajkovicHedley4N(int distance,
                 int threshold1,
                 int threshold2,
                 int scale)

Creates Trajkovic and Hedley Corner Detector

Parameters:

distance - This value sets the distance from the nearby pixels.

threshold1 - This is the value for the first calcualtion of possible corners in the scaled lower resolution image.

threshold2 - This is the value for the second calculation of possible corners in the original image.

scale - Scale for the lower resolution image. The orignial images size is divided by this number;

Method Detail

getPoints

public List<ImagePoint> getPoints()

Specified by:

getPoints in interface PointDetector

supports

public EnumSet<Descriptor.Supports> supports()

Description copied from interface: Descriptor

Determine the capabilities of this algorithm.

Specified by:

supports in interface Descriptor

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.

Specified by:

run in interface Descriptor

addPropertyChangeListener

public void addPropertyChangeListener(PropertyChangeListener listener)

Description copied from interface: Descriptor

Adds a change listener to this descriptor. The descriptor might fire status change events which can be used to track the progress. Keep in mind that no implementation is forced to fire any events at all.

Specified by:

addPropertyChangeListener in interface Descriptor