Package gov.nih.mipav.model.algorithms.levelset

Class AlgorithmFastMarching

java.lang.Object

java.lang.Thread

gov.nih.mipav.model.algorithms.AlgorithmBase

gov.nih.mipav.model.algorithms.levelset.AlgorithmFastMarching

All Implemented Interfaces:

ActionListener, WindowListener, Runnable, EventListener

public class AlgorithmFastMarching
extends AlgorithmBase

DOCUMENT ME!

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 boolean	m_bImage25D	Calculate per-slice:
private boolean	m_bIterate	DOCUMENT ME!
private boolean	m_bNext	DOCUMENT ME!
private float	m_fAdvectionWeight	The advection coefficient 'a' in the PDE that controls the evolution.
private float	m_fCurvatureWeight	The curvature coefficient 'c' in the PDE that controls the evolution.
private float	m_fGradientMagnitudeScale	The scale to use in computing the blurred gradient magnitude of the curvature flow image.
private float	m_fLaplacianWeight	The Laplacian coefficient 'd' in the PDE that controls the evolution.
private float	m_fMaxDistance	The maximum distance to allow when computing the signed distance transform.
private float	m_fPropagationWeight	The propagation coefficient 'b' in the PDE that controls the evolution.
private float	m_fSigmoidAlpha	The parameters for the sigmoid function through which the blurred gradient magnitude image is processed.
private float	m_fSigmoidBeta	The parameters for the sigmoid function through which the blurred gradient magnitude image is processed.
private float	m_fSigmoidMax	The parameters for the sigmoid function through which the blurred gradient magnitude image is processed.
private float	m_fSigmoidMin	The parameters for the sigmoid function through which the blurred gradient magnitude image is processed.
private int	m_iDiffusionIterations	The number of iterations to use in the nonlinear diffusion (curvature flow filter) applied to the input image.
private int	m_iFilterType	Type of level set diffusion filter to apply.
private int	m_iMaxCoarse	Number of coarse iterations
private int	m_iMaxEvolution	Number of evolution iterations
private int	m_iSlice
private static final long	serialVersionUID	Use serialVersionUID for interoperability.

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
AlgorithmFastMarching(ModelImage _image)	Creates a new ViewJFrameFastMarching3 object.
AlgorithmFastMarching(ModelImage _image, int iFilterType, int iIters, float fGMScale, float fSAlpha, float fSBeta, float fSMin, float fSMax, int iCoarseMax, float fMaxDistance, float fAdvectionWeight, float fPropagationWeight, float fCurvatureWeight, float fLaplacianWeight, int iEvolveMax, boolean bImage25D)	Creates a new AlgorithmFastMarching3 object.

Method Summary

Modifier and Type	Method	Description
private void	DrawEvolve2D(LseSegmenter kSegmenter)	DOCUMENT ME!
private void	DrawEvolve3D(LseSegmenter kSegmenter)	DOCUMENT ME!
private void	DrawFastMarch2D(LseSegmenter kSegmenter)	DOCUMENT ME!
private void	DrawFastMarch3D(LseSegmenter kSegmenter)	DOCUMENT ME!
void	runAlgorithm()	Actually runs the algorithm.
private void	runAlgorithm25D()
void	runAlgorithm2D()
void	runAlgorithm3D()

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

actionPerformed, addListener, addProgressChangeListener, calculateImageSize, calculatePrincipleAxis, computeElapsedTime, computeElapsedTime, convertIntoFloat, delinkProgressToAlgorithm, delinkProgressToAlgorithmMulti, displayError, errorCleanUp, finalize, 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

serialVersionUID

private static final long serialVersionUID

Use serialVersionUID for interoperability.

See Also:

• Constant Field Values

m_bIterate

private boolean m_bIterate

DOCUMENT ME!

m_bNext

private boolean m_bNext

DOCUMENT ME!

m_iFilterType

private int m_iFilterType

Type of level set diffusion filter to apply.

m_iDiffusionIterations

private int m_iDiffusionIterations

The number of iterations to use in the nonlinear diffusion (curvature flow filter) applied to the input image.

m_fGradientMagnitudeScale

private float m_fGradientMagnitudeScale

The scale to use in computing the blurred gradient magnitude of the curvature flow image.

m_fSigmoidAlpha

private float m_fSigmoidAlpha

The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The variance of the function.

m_fSigmoidBeta

private float m_fSigmoidBeta

The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The center of the function.

m_fSigmoidMin

private float m_fSigmoidMin

The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The minimum of the function.

m_fSigmoidMax

private float m_fSigmoidMax

The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The maximum of the function.

m_iMaxCoarse

private int m_iMaxCoarse

Number of coarse iterations

m_fMaxDistance

private float m_fMaxDistance

The maximum distance to allow when computing the signed distance transform.

m_fAdvectionWeight

private float m_fAdvectionWeight

The advection coefficient 'a' in the PDE that controls the evolution.

m_fPropagationWeight

private float m_fPropagationWeight

The propagation coefficient 'b' in the PDE that controls the evolution.

m_fCurvatureWeight

private float m_fCurvatureWeight

The curvature coefficient 'c' in the PDE that controls the evolution.

m_fLaplacianWeight

private float m_fLaplacianWeight

The Laplacian coefficient 'd' in the PDE that controls the evolution.

m_iMaxEvolution

private int m_iMaxEvolution

Number of evolution iterations

m_bImage25D

private boolean m_bImage25D

Calculate per-slice:

m_iSlice

private int m_iSlice

Constructor Details

AlgorithmFastMarching

public AlgorithmFastMarching(ModelImage _image)

Creates a new ViewJFrameFastMarching3 object.

Parameters:

_image - DOCUMENT ME!

_LUT - DOCUMENT ME!

AlgorithmFastMarching

public AlgorithmFastMarching(ModelImage _image,
 int iFilterType,
 int iIters,
 float fGMScale,
 float fSAlpha,
 float fSBeta,
 float fSMin,
 float fSMax,
 int iCoarseMax,
 float fMaxDistance,
 float fAdvectionWeight,
 float fPropagationWeight,
 float fCurvatureWeight,
 float fLaplacianWeight,
 int iEvolveMax,
 boolean bImage25D)

Creates a new AlgorithmFastMarching3 object.

Parameters:

_image - reference to the source image

iIters - The number of iterations to use in the nonlinear diffusion (curvature flow filter) applied to the input image.

fGMScale - The scale to use in computing the blurred gradient magnitude of the curvature flow image.

fSAlpha - The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The variance of the function.

fSBeta - The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The center of the function.

fSMin - The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The minimum of the function.

fSMax - The parameters for the sigmoid function through which the blurred gradient magnitude image is processed. The maximum of the function.

iCoarseMax - Number of coarse iterations

fMaxDistance - The maximum distance to allow when computing the signed distance transform. * @param fAdvectionWeight The advection coefficient 'a' in the PDE that controls the evolution.

fPropagationWeight - The propagation coefficient 'b' in the PDE that controls the evolution.

fCurvatureWeight - The curvature coefficient 'c' in the PDE that controls the evolution.

fLaplacianWeight - The Laplacian coefficient 'd' in the PDE that controls the evolution.

iEvolveMax - Number of evolution iterations

Method Details

runAlgorithm

public void runAlgorithm()

Description copied from class: AlgorithmBase

Actually runs the algorithm. Implemented by inheriting algorithms.

Specified by:

runAlgorithm in class AlgorithmBase

runAlgorithm3D

public void runAlgorithm3D()

runAlgorithm25D

private void runAlgorithm25D()

DrawEvolve3D

private void DrawEvolve3D(LseSegmenter kSegmenter)

DOCUMENT ME!

Parameters:

kSegmenter - DOCUMENT ME!

afImage - DOCUMENT ME!

DrawFastMarch3D

private void DrawFastMarch3D(LseSegmenter kSegmenter)

DOCUMENT ME!

Parameters:

kSegmenter - DOCUMENT ME!

afImage - DOCUMENT ME!

runAlgorithm2D

public void runAlgorithm2D()

DrawEvolve2D

private void DrawEvolve2D(LseSegmenter kSegmenter)

DOCUMENT ME!

Parameters:

kSegmenter - DOCUMENT ME!

afImage - DOCUMENT ME!

DrawFastMarch2D

private void DrawFastMarch2D(LseSegmenter kSegmenter)

DOCUMENT ME!

Parameters:

kSegmenter - DOCUMENT ME!

afImage - DOCUMENT ME!