Package gov.nih.mipav.model.algorithms

Class AlgorithmAutoSeedWatershed

java.lang.Object

java.lang.Thread

gov.nih.mipav.model.algorithms.AlgorithmBase

gov.nih.mipav.model.algorithms.AlgorithmAutoSeedWatershed

All Implemented Interfaces:

ActionListener, WindowListener, Runnable, EventListener

public class AlgorithmAutoSeedWatershed
extends AlgorithmBase

This is a port of the file AutoSeedWatershed.cpp which calls openCV written by Ravimal Bandara. His web site is titled Image Segmentation using Unsupervised Watershed Algorithm with an Over-segmentation Reduction Technique. This code is written for 2D color images. In response to the question: Would it be possible to modify your code for use on black and white images? What changes would be necessary? Ravimal Bandara responded: Yes you can by creating a gray histogram instead of Hues Saturation histogram. But I am not sure about the accuracy due to the grayscale histograms are less discriminative compared to the colour histogram. His code is licensed under the Code Project Open License (CPOL). The formula for the Bhattacharyya distance for multivariate gaussian distributions is taken from "The Divergence and Bhattacharyya Distance Measures in Signal Selection" by Thomas Kailath, IEEE Transactions on Communication Technology" Vol. COM-15, No. 1, February, 1967, pp. 52-60.

Author:

ilb

Nested Class Summary

Nested classes/interfaces inherited from class java.lang.Thread

Thread.Builder, Thread.State, Thread.UncaughtExceptionHandler

Field Summary

Fields

Modifier and Type	Field	Description
private ModelImage	distTransformed
private boolean	error
private ModelImage	grayImage
private double	maxDistance
private boolean	mergeSimilar
private float	scaleX
private float	scaleY
private int	segmentNumber
private ModelImage	thresholdImage
private ViewUserInterface	UI

Fields inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase

destFlag, destImage, image25D, mask, maxProgressValue, minProgressValue, multiThreadingEnabled, nthreads, progress, progressModulus, progressStep, runningInSeparateThread, separable, srcImage, threadStopped

Fields inherited from class java.lang.Thread

MAX_PRIORITY, MIN_PRIORITY, NORM_PRIORITY

Constructor Summary

Constructors

Constructor	Description
AlgorithmAutoSeedWatershed(ModelImage destImg, ModelImage srcImg, float scaleX, float scaleY, boolean mergeSimilar, double maxDistance)	Constructs new watershed algorithm.

Method Summary

Modifier and Type	Method	Description
void	finalize()	Prepares this class for destruction.
private void	mergeSegments()
void	runAlgorithm()	Starts the program.
private void	watershedSegment()

Methods inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase

actionPerformed, addListener, addProgressChangeListener, calculateImageSize, calculatePrincipleAxis, computeElapsedTime, computeElapsedTime, convertIntoFloat, delinkProgressToAlgorithm, delinkProgressToAlgorithmMulti, displayError, errorCleanUp, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, generateProgressValues, getDestImage, getElapsedTime, getMask, getMaxProgressValue, getMinProgressValue, getNumberOfThreads, getProgress, getProgressChangeListener, getProgressChangeListeners, getProgressModulus, getProgressStep, getProgressValues, getSrcImage, isCompleted, isImage25D, isMultiThreadingEnabled, isRunningInSeparateThread, isThreadStopped, linkProgressToAlgorithm, linkProgressToAlgorithm, makeProgress, notifyListeners, removeListener, removeProgressChangeListener, run, setCompleted, setImage25D, setMask, setMaxProgressValue, setMinProgressValue, setMultiThreadingEnabled, setNumberOfThreads, setProgress, setProgressModulus, setProgressStep, setProgressValues, setProgressValues, setRunningInSeparateThread, setSrcImage, setStartTime, setThreadStopped, startMethod, windowActivated, windowClosed, windowClosing, windowDeactivated, windowDeiconified, windowIconified, windowOpened

Methods inherited from class java.lang.Thread

activeCount, checkAccess, clone, countStackFrames, currentThread, dumpStack, enumerate, getAllStackTraces, getContextClassLoader, getDefaultUncaughtExceptionHandler, getId, getName, getPriority, getStackTrace, getState, getThreadGroup, getUncaughtExceptionHandler, holdsLock, interrupt, interrupted, isAlive, isDaemon, isInterrupted, isVirtual, join, join, join, join, ofPlatform, ofVirtual, onSpinWait, resume, setContextClassLoader, setDaemon, setDefaultUncaughtExceptionHandler, setName, setPriority, setUncaughtExceptionHandler, sleep, sleep, sleep, start, startVirtualThread, stop, suspend, threadId, toString, yield

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details

segmentNumber

private int segmentNumber

grayImage

private ModelImage grayImage

thresholdImage

private ModelImage thresholdImage

distTransformed

private ModelImage distTransformed

scaleX

private float scaleX

scaleY

private float scaleY

mergeSimilar

private boolean mergeSimilar

maxDistance

private double maxDistance

error

private boolean error

UI

private ViewUserInterface UI

Constructor Details

AlgorithmAutoSeedWatershed

public AlgorithmAutoSeedWatershed(ModelImage destImg,
 ModelImage srcImg,
 float scaleX,
 float scaleY,
 boolean mergeSimilar,
 double maxDistance)

Constructs new watershed algorithm.

Parameters:

destImg - Image model where result image is to stored

srcImg - Source image model

scaleX -

scaleY -

mergeSimilar -

maxDistance -

Method Details

finalize

public void finalize()

Prepares this class for destruction.

Overrides:

finalize in class AlgorithmBase

runAlgorithm

public void runAlgorithm()

Starts the program.

Specified by:

runAlgorithm in class AlgorithmBase

watershedSegment

private void watershedSegment()

mergeSegments

private void mergeSegments()