java.lang.Object
- java.lang.Thread
- - gov.nih.mipav.model.algorithms.AlgorithmBase
  - - gov.nih.mipav.model.algorithms.filters.AlgorithmLearnFromFailure64

All Implemented Interfaces:

AlgorithmInterface, java.awt.event.ActionListener, java.awt.event.WindowListener, java.lang.Runnable, java.util.EventListener
```
public class AlgorithmLearnFromFailure64
extends AlgorithmBase
implements AlgorithmInterface
```

Nested Class Summary

Nested Classes
Modifier and Type Class Description

private static class AlgorithmLearnFromFailure64.ClassType
- 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 AlgorithmAddMargins`	`cropAlgo`
`private ModelImage`	`cropImage`
`private int`	`imageNum`
`private float`	`maxIntensity`
`private float`	`minIntensity`
`private static java.io.BufferedWriter`	`outStream`
`private int`	`patchNum`
`private ModelImage`	`resultImage`
`private java.lang.String`	`savedImageDir`
`private int`	`sliceNum`
`private ModelImage`	`srcImage`
`private boolean`	`training`

Fields inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase
destFlag, destImage, image25D, mask, maxProgressValue, minProgressValue, multiThreadingEnabled, nthreads, progress, progressModulus, progressStep, runningInSeparateThread, separable, threadStopped

Fields inherited from class java.lang.Thread
MAX_PRIORITY, MIN_PRIORITY, NORM_PRIORITY

Constructor Summary

Constructors
Constructor	Description
`AlgorithmLearnFromFailure64(ModelImage _srcImage, int _imageNum, int _sliceNum, float min, float max, boolean train, java.io.BufferedWriter _outStream, java.lang.String _savedImageDir)`
`AlgorithmLearnFromFailure64(ModelImage _srcImage, int _imageNum, int _sliceNum, float min, float max, boolean train, java.lang.String _savedImageDir)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`algorithmPerformed(AlgorithmBase algorithm)`	Called after an algorithm this listener is registered to exits (maybe successfully, maybe not).
`private void`	`cropImage(int xMin, int xMax, int yMin, int yMax)`
`void`	`disposeLocal()`
`private void`	`extractImage24bits(int xMin, int xMax, int yMin, int yMax, boolean isCenter)`
`private void`	`extractImage8bitsTest(int xMin, int xMax, int yMin, int yMax, AlgorithmLearnFromFailure64.ClassType type, float centerX, float centerY)`
`private void`	`extractImage8bitsTrain(int xMin, int xMax, int yMin, int yMax, AlgorithmLearnFromFailure64.ClassType type)`
`private void`	`generatePatches()`
`private void`	`learnFromFailure()`
`int`	`numDigits(int value)`
`void`	`runAlgorithm()`	Actually runs the algorithm.
`void`	`smoothVOI128double(ModelImage maskImage, ModelImage resultImage)`
`void`	`smoothVOI128single(ModelImage maskImage, ModelImage resultImage)`
`void`	`smoothVOI30(ModelImage maskImage, ModelImage resultImage)`

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

srcImage
```
private ModelImage srcImage
```

imageNum
```
private int imageNum
```

sliceNum
```
private int sliceNum
```

patchNum
```
private int patchNum
```

cropImage
```
private ModelImage cropImage
```

cropAlgo
```
private AlgorithmAddMargins cropAlgo
```

resultImage
```
private ModelImage resultImage
```

training
```
private boolean training
```

outStream

private static java.io.BufferedWriter outStream

minIntensity
```
private float minIntensity
```

maxIntensity
```
private float maxIntensity
```

savedImageDir
```
private java.lang.String savedImageDir
```

Constructor Detail

AlgorithmLearnFromFailure64

public AlgorithmLearnFromFailure64(ModelImage _srcImage,
                                   int _imageNum,
                                   int _sliceNum,
                                   float min,
                                   float max,
                                   boolean train,
                                   java.lang.String _savedImageDir)

AlgorithmLearnFromFailure64

public AlgorithmLearnFromFailure64(ModelImage _srcImage,
                                   int _imageNum,
                                   int _sliceNum,
                                   float min,
                                   float max,
                                   boolean train,
                                   java.io.BufferedWriter _outStream,
                                   java.lang.String _savedImageDir)

Method Detail

disposeLocal
```
public void disposeLocal()
```

algorithmPerformed
```
public void algorithmPerformed(AlgorithmBase algorithm)
```
Description copied from interface: AlgorithmInterface

Called after an algorithm this listener is registered to exits (maybe successfully, maybe not). If the algorithm is run in a separate thread, this call will be made within that thread. If not, this call will be made from that same, shared thread.

Specified by:

algorithmPerformed in interface AlgorithmInterface

Parameters:

algorithm - the algorithm which has just completed

runAlgorithm
```
public void runAlgorithm()
```
Description copied from class: AlgorithmBase

Actually runs the algorithm. Implemented by inheriting algorithms.

Specified by:

runAlgorithm in class AlgorithmBase

smoothVOI128double

public void smoothVOI128double(ModelImage maskImage,
                               ModelImage resultImage)

learnFromFailure
```
private void learnFromFailure()
```

generatePatches
```
private void generatePatches()
```

numDigits
```
public int numDigits(int value)
```

extractImage8bitsTest

private void extractImage8bitsTest(int xMin,
                                   int xMax,
                                   int yMin,
                                   int yMax,
                                   AlgorithmLearnFromFailure64.ClassType type,
                                   float centerX,
                                   float centerY)

extractImage8bitsTrain

private void extractImage8bitsTrain(int xMin,
                                    int xMax,
                                    int yMin,
                                    int yMax,
                                    AlgorithmLearnFromFailure64.ClassType type)

extractImage24bits

private void extractImage24bits(int xMin,
                                int xMax,
                                int yMin,
                                int yMax,
                                boolean isCenter)

cropImage

private void cropImage(int xMin,
                       int xMax,
                       int yMin,
                       int yMax)

smoothVOI30

public void smoothVOI30(ModelImage maskImage,
                        ModelImage resultImage)

smoothVOI128single

public void smoothVOI128single(ModelImage maskImage,
                               ModelImage resultImage)

Class AlgorithmLearnFromFailure64

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

srcImage

imageNum

sliceNum

patchNum

cropImage

cropAlgo

resultImage

training

outStream

minIntensity

maxIntensity

savedImageDir

Constructor Detail

AlgorithmLearnFromFailure64

AlgorithmLearnFromFailure64

Method Detail

disposeLocal

algorithmPerformed

runAlgorithm

smoothVOI128double

learnFromFailure

generatePatches

numDigits

extractImage8bitsTest

extractImage8bitsTrain

extractImage24bits

cropImage

smoothVOI30

smoothVOI128single