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

All Implemented Interfaces:

java.awt.event.ActionListener, java.awt.event.WindowListener, java.lang.Runnable, java.util.EventListener
```
public class AlgorithmEvaluateMaskSegmentation
extends AlgorithmBase
```
Compares segmentation results of a test image to segmentation results of an ideal gold standard true image. Comparisons are made for identical nonzero levels in the 2 images. For each nonzero level, the false negative volume fraction, the false positive volume fraction, and the positive volume fraction are output to the global data text. The images must be boolean, UBYTE, or USHORT.

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 int`	`absoluteTrue`	total number of voxels at a particular nonzero level.
`private int`	`falseNegative`	where trueImage has the nonzero level.
`private int`	`falsePositive`	where trueImage does not have the nonzero level.
`private float`	`fnvf`	false negative volume fraction.
`private float`	`fpvf`	false positive volume fraction.
`private int`	`length`	DOCUMENT ME!
`private int`	`levelsMatch`	DOCUMENT ME!
`private boolean`	`present`	DOCUMENT ME!
`private short[]`	`testArray`	DOCUMENT ME!
`private ModelImage`	`testImage`	DOCUMENT ME!
`private int`	`testLength`	DOCUMENT ME!
`private int[]`	`testLevelArray`	DOCUMENT ME!
`private int`	`testLevels`	DOCUMENT ME!
`private float`	`tpvf`	positive volume fraction.
`private short[]`	`trueArray`	DOCUMENT ME!
`private int`	`trueFound`	in the true image.
`private int[]`	`trueLevelArray`	DOCUMENT ME!
`private int`	`trueLevels`	DOCUMENT ME!

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
`AlgorithmEvaluateMaskSegmentation(ModelImage trueImage, ModelImage testImage)`	Creates a new AlgorithmEvaluateMaskSegmentation object.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type Method Description

void finalize()
Prepares this class for destruction.

void runAlgorithm()
Starts the program.
- 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, 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
  - absoluteTrue
```
private int absoluteTrue
```
    total number of voxels at a particular nonzero level.
  - falseNegative
```
private int falseNegative
```
    where trueImage has the nonzero level.
  - falsePositive
```
private int falsePositive
```
    where trueImage does not have the nonzero level.
  - fnvf
```
private float fnvf
```
    false negative volume fraction.
  - fpvf
```
private float fpvf
```
    false positive volume fraction.
  - length
```
private int length
```
    DOCUMENT ME!
  - levelsMatch
```
private int levelsMatch
```
    DOCUMENT ME!
  - present
```
private boolean present
```
    DOCUMENT ME!
  - testArray
```
private short[] testArray
```
    DOCUMENT ME!
  - testImage
```
private ModelImage testImage
```
    DOCUMENT ME!
  - testLength
```
private int testLength
```
    DOCUMENT ME!
  - testLevelArray
```
private int[] testLevelArray
```
    DOCUMENT ME!
  - testLevels
```
private int testLevels
```
    DOCUMENT ME!
  - tpvf
```
private float tpvf
```
    positive volume fraction.
  - trueArray
```
private short[] trueArray
```
    DOCUMENT ME!
  - trueFound
```
private int trueFound
```
    in the true image.
  - trueLevelArray
```
private int[] trueLevelArray
```
    DOCUMENT ME!
  - trueLevels
```
private int trueLevels
```
    DOCUMENT ME!
- Constructor Detail
  - AlgorithmEvaluateMaskSegmentation
```
public AlgorithmEvaluateMaskSegmentation(ModelImage trueImage,
                                         ModelImage testImage)
```
    Creates a new AlgorithmEvaluateMaskSegmentation object.
    
    Parameters:
    
    trueImage - image model used as a ideal gold standard
    
    testImage - image model tested against the trueImage
- Method Detail
  - 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

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

Class AlgorithmEvaluateMaskSegmentation

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

absoluteTrue

falseNegative

falsePositive

fnvf

fpvf

length

levelsMatch

present

testArray

testImage

testLength

testLevelArray

testLevels

tpvf

trueArray

trueFound

trueLevelArray

trueLevels

Constructor Detail

AlgorithmEvaluateMaskSegmentation

Method Detail

finalize

runAlgorithm