de.unihalle.informatik.MiToBo.segmentation.snakes.optimize.stepsize

Class MTBGammaFixed

java.lang.Object

de.unihalle.informatik.MiToBo.segmentation.snakes.optimize.stepsize.MTBGammaUpdate

de.unihalle.informatik.MiToBo.segmentation.snakes.optimize.stepsize.MTBGammaFixed

All Implemented Interfaces:

Cloneable

@ALDDerivedClass
 @ALDParametrizedClass
public class MTBGammaFixed
extends MTBGammaUpdate

Class for gamma adaptation with a fixed decreasing factor for all gamma values.

Author:

misiak

Field Summary

Fields

Modifier and Type	Field and Description
private double	decrease Fixed decrease factor for adaptation of all gamma values.

Fields inherited from class de.unihalle.informatik.MiToBo.segmentation.snakes.optimize.stepsize.MTBGammaUpdate

adaptedGamma, optimizer, verbose

Constructor Summary

Constructors

Constructor and Description
MTBGammaFixed() Default constructor.
MTBGammaFixed(double decreaseFactor) Constructor with fixed decreasing factor for adaptation.

Method Summary

Modifier and Type	Method and Description
double[][]	adaptGamma() Gamma adaptation using fixed decreasing factor for all gamma values.
MTBGammaFixed	clone() Clones this object.
boolean	init(SnakeOptimizerSingleVarCalc opt) Initializing routine which is called once before the gamma adaptation is actually used.
String	toString() Method for short adaptation description name.

Methods inherited from class java.lang.Object

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

Field Detail

decrease

@ALDClassParameter(label="Decrease Factor")
private double decrease

Fixed decrease factor for adaptation of all gamma values.

Constructor Detail

MTBGammaFixed

public MTBGammaFixed()

Default constructor.

MTBGammaFixed

public MTBGammaFixed(double decreaseFactor)

Constructor with fixed decreasing factor for adaptation.

Parameters:

decreaseFactor - decreasing value for gamma adaptation.

Method Detail

init

public boolean init(SnakeOptimizerSingleVarCalc opt)

Description copied from class: MTBGammaUpdate

Initializing routine which is called once before the gamma adaptation is actually used.

In this routine global parameter settings can be handled or other initialization stuff be done. The SnakeOptimizer will call this routine once before the actual use of the gamma update strategy. If no stuff needs to be done in advance the routine should at least return true.

Specified by:

init in class MTBGammaUpdate

Parameters:

opt - calling snake optimizer

Returns:

True if init was successful.

adaptGamma

public double[][] adaptGamma()

Gamma adaptation using fixed decreasing factor for all gamma values. Adaptation calculation: oldValue - (oldValue * decreasingFactor).

Specified by:

adaptGamma in class MTBGammaUpdate

Returns:

New adapted gamma values.

toString

public String toString()

Description copied from class: MTBGammaUpdate

Method for short adaptation description name.

Specified by:

toString in class MTBGammaUpdate

clone

public MTBGammaFixed clone()
                    throws CloneNotSupportedException

Clones this object.

Note that the SnakeOptimizerSingle object is left null! You have to call SnakeOptimizer.initOptimizer() before using the gamma updater.

Specified by:

clone in class MTBGammaUpdate

Throws:

CloneNotSupportedException