org.openimaj.image.analysis.watershed

Class WatershedProcessorAlgorithm

java.lang.Object

org.openimaj.image.analysis.watershed.WatershedProcessorAlgorithm

public class WatershedProcessorAlgorithm
extends Object

Maximally Stable Extremal Region watershed algorithm, implemented as described in the Microsoft paper of Nister and Stewenius.

Author:

David Dupplaw (dpd@ecs.soton.ac.uk), Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
WatershedProcessorAlgorithm(FImage bGreyscaleImage, IntValuePixel startPixel, Class<? extends ComponentFeature>... featureClasses) Default constructor
WatershedProcessorAlgorithm(int[][] greyscaleImage, IntValuePixel startPixel, Class<? extends ComponentFeature>... featureClasses) Default constructor

Method Summary

Methods

Modifier and Type	Method and Description
void	addComponentStackMergeListener(ComponentStackMergeListener csml) Add a component stack merge listener
void	removeComponentStackMergeListener(ComponentStackMergeListener csml) Removes the given ComponentStackMergeListener from the listeners list.
void	startPour() Start the detection process by pouring on water at the pour point.

Methods inherited from class java.lang.Object

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

Constructor Detail

WatershedProcessorAlgorithm

public WatershedProcessorAlgorithm(int[][] greyscaleImage,
                           IntValuePixel startPixel,
                           Class<? extends ComponentFeature>... featureClasses)

Default constructor

Parameters:

greyscaleImage - the image as a 2d array of integer values

startPixel - The pixel to start the process at

featureClasses - the features that should be created for each detected component

WatershedProcessorAlgorithm

public WatershedProcessorAlgorithm(FImage bGreyscaleImage,
                           IntValuePixel startPixel,
                           Class<? extends ComponentFeature>... featureClasses)

Default constructor

Parameters:

bGreyscaleImage - the image to apply the watershed transform too

startPixel - The pixel to start the process at

featureClasses - the features that should be created for each detected component

Method Detail

startPour

public void startPour()

Start the detection process by pouring on water at the pour point. (part 1 and 2)

addComponentStackMergeListener

public void addComponentStackMergeListener(ComponentStackMergeListener csml)

Add a component stack merge listener

Parameters:

csml - The ComponentStackMergeListener to add

removeComponentStackMergeListener

public void removeComponentStackMergeListener(ComponentStackMergeListener csml)

Removes the given ComponentStackMergeListener from the listeners list.

Parameters:

csml - The ComponentStackMergeListener to remove