java.lang.Object
- java.lang.Thread
- - gov.nih.mipav.model.algorithms.AlgorithmBase
  - - gov.nih.mipav.model.algorithms.levelset.AlgorithmFastMarching

All Implemented Interfaces:

java.awt.event.ActionListener, java.awt.event.WindowListener, java.lang.Runnable, java.util.EventListener
```
public class AlgorithmFastMarching
extends AlgorithmBase
```
DOCUMENT ME!

Nested Class Summary
- Nested classes/interfaces inherited from class java.lang.Thread
  java.lang.Thread.State, java.lang.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 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

All Methods Instance Methods Concrete Methods
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, join, join, join, onSpinWait, resume, setContextClassLoader, setDaemon, setDefaultUncaughtExceptionHandler, setName, setPriority, setUncaughtExceptionHandler, sleep, sleep, start, stop, suspend, toString, yield

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - 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 Detail
  - 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 Detail
  - 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!

Class AlgorithmFastMarching

Nested Class Summary

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

Field Summary

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

Fields inherited from class java.lang.Thread

Constructor Summary

Method Summary

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

Methods inherited from class java.lang.Thread

Methods inherited from class java.lang.Object

Field Detail

serialVersionUID

m_bIterate

m_bNext

m_iFilterType

m_iDiffusionIterations

m_fGradientMagnitudeScale

m_fSigmoidAlpha

m_fSigmoidBeta

m_fSigmoidMin

m_fSigmoidMax

m_iMaxCoarse

m_fMaxDistance

m_fAdvectionWeight

m_fPropagationWeight

m_fCurvatureWeight

m_fLaplacianWeight

m_iMaxEvolution

m_bImage25D

m_iSlice

Constructor Detail

AlgorithmFastMarching

AlgorithmFastMarching

Method Detail

runAlgorithm

runAlgorithm3D

runAlgorithm25D

DrawEvolve3D

DrawFastMarch3D

runAlgorithm2D

DrawEvolve2D

DrawFastMarch2D