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

All Implemented Interfaces:

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

Version:

0.1 June 25, 2012

Author:

William Gandler In 2D for image points find the absolute value of the intensity differences to all points between a minimum distance of minDist and a maximum distance of maxDist. Do this either for all points in the image or only between points in a given contour or polyline curve. If done for all points in an image, the Hurst image will be produced as a double value in a result image having the same dimensions as the source image. If done only for VOIs, there will be no result image. If done only for VOIs, there will just be a Hurst value outputted on the data panel for each contour or polyline curve. Have the option to define the distance as the rounded Euclidean distance. For every distance between minDist and maxDist find the average value of the absolute value of the intensity difference. Find the best fit to the line log(average absolute value of the intensity difference) = log(c) + H*log(distance) where H is the Hurst index. For VOIs and slices the Hurst index varies from 0 to 1. If H is 0.5, each step can be up or down completely at random. If H is less than 0.5, each step upward is likely to be followed by a downward step and each downward step is likely to be followed by an upward step. Therefore, a lower Hurst index indicates a higher complexity of the distribution of pixel values. Dimensionality = 3 - Hurst coefficient. The fractal dimension has lower values on the boundary of different texture regions, and tends to be constant over uniform texture regions. References: 1.) "Sonographic Texture Characterization of Salivary Gland Tumors by Fractal Analysis", by Toru Chikui, Kenji Tokumori, Kazunori Yoshiura, Kazunari Oobu, Seiji Nakamura, and Katsumasa Nakamura, Ultrasound in Medicine and Biology, Vol. 31, No. 10, pp. 1297-1304, 2005. 2.) "Fractal Analysis of Medical Images in the Irregular Regions of Interest", by Edward Oczeretko, Marta Borowska, Agnieszka Kitlas, Andrzej Borusiewicz, and Malgorzata Sobolewska-Siemieniuk. 3.) "Fractal Feature Analysis and Classification in Medical Imaging", by Chi-Chang Chen, John S. Daponte, and Martin D. Fox, IEEE Transactions on Medical Imaging, Vol. 8, No. 2, June, 1989, pp. 133-142.

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`(package private) class`	`AlgorithmHurstIndex.DistanceIntensity`
`(package private) class`	`AlgorithmHurstIndex.DistanceIntensityComparator`

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`	`grouping`
`private boolean`	`integerDistanceRound`
`private double`	`maxDist`
`private double`	`minDist`
`private static int`	`PIXEL_GROUPING`
`private static int`	`RED_OFFSET`	Red channel.
`private int`	`RGBOffset`
`private static int`	`VOI_GROUPING`

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
`AlgorithmHurstIndex(ModelImage srcImg, double minDist, double maxDist, boolean integerDistanceRound, int grouping)`	Creates a new AlgorithmHurstIndex object for black and white image.
`AlgorithmHurstIndex(ModelImage srcImg, int RGBOffset, double minDist, double maxDist, boolean integerDistanceRound, int grouping)`	Creates a new AlgorithmHurstIndex object for color image.
`AlgorithmHurstIndex(ModelImage destImg, ModelImage srcImg, double minDist, double maxDist, boolean integerDistanceRound)`	Creates a new AlgorithmHurstIndex object for black and white image.
`AlgorithmHurstIndex(ModelImage destImg, ModelImage srcImg, int RGBOffset, double minDist, double maxDist, boolean integerDistanceRound)`	Creates a new AlgorithmHurstIndex object for color image.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`private void`	`calculatePixelHurstIndex()`	DOCUMENT ME!
`private void`	`calculateSliceHurstIndex()`
`private void`	`calculateVOIHurstIndex()`
`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
  - RED_OFFSET
```
private static final int RED_OFFSET
```
    Red channel.
    
    See Also:
    
    Constant Field Values
  - PIXEL_GROUPING
```
private static final int PIXEL_GROUPING
```
    See Also:
    
    Constant Field Values
  - VOI_GROUPING
```
private static final int VOI_GROUPING
```
    See Also:
    
    Constant Field Values
  - minDist
```
private double minDist
```
  - maxDist
```
private double maxDist
```
  - integerDistanceRound
```
private boolean integerDistanceRound
```
  - RGBOffset
```
private int RGBOffset
```
  - grouping
```
private int grouping
```
- Constructor Detail
  - AlgorithmHurstIndex
```
public AlgorithmHurstIndex(ModelImage destImg,
                           ModelImage srcImg,
                           double minDist,
                           double maxDist,
                           boolean integerDistanceRound)
```
    Creates a new AlgorithmHurstIndex object for black and white image.
    
    Parameters:
    
    destImg - destination image model
    
    srcImg - source image model
    
    minDist - minimum distance between pixels
    
    maxDist - maximum distance between pixels
    
    integerDistanceRound - If true, take the rounding of the Euclidean distance as the distance. if false, take the Euclidean distance as the distance.
  - AlgorithmHurstIndex
```
public AlgorithmHurstIndex(ModelImage destImg,
                           ModelImage srcImg,
                           int RGBOffset,
                           double minDist,
                           double maxDist,
                           boolean integerDistanceRound)
```
    Creates a new AlgorithmHurstIndex object for color image.
    
    Parameters:
    
    destImg - destination image model
    
    srcImg - source image model
    
    RGBOffset - selects red, green, or blue channel
    
    minDist - minimum distance between pixels
    
    maxDist - maximum distance between pixels
    
    integerDistancePart - If true, take the integer part of the Euclidean distance as the distance. if false, take the Euclidean distance as the distance.
  - AlgorithmHurstIndex
```
public AlgorithmHurstIndex(ModelImage srcImg,
                           double minDist,
                           double maxDist,
                           boolean integerDistanceRound,
                           int grouping)
```
    Creates a new AlgorithmHurstIndex object for black and white image.
    
    Parameters:
    
    srcImg - source image model
    
    minDist - minimum distance between pixels
    
    maxDist - maximum distance between pixels
    
    integerDistanceRound - If true, take the rounding of the Euclidean distance as the distance. if false, take the Euclidean distance as the distance.
    
    grouping - VOI_GROUPING or SLICE_GROUPING
  - AlgorithmHurstIndex
```
public AlgorithmHurstIndex(ModelImage srcImg,
                           int RGBOffset,
                           double minDist,
                           double maxDist,
                           boolean integerDistanceRound,
                           int grouping)
```
    Creates a new AlgorithmHurstIndex object for color image.
    
    Parameters:
    
    srcImg - source image model
    
    RGBOffset - selects red, green, or blue channel
    
    minDist - minimum distance between pixels
    
    maxDist - maximum distance between pixels
    
    integerDistancePart - If true, take the integer part of the Euclidean distance as the distance. if false, take the Euclidean distance as the distance.
    
    grouping - VOI_GROUPING or SLICE_GROUPING
- 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
  - calculatePixelHurstIndex
```
private void calculatePixelHurstIndex()
```
    DOCUMENT ME!
  - calculateVOIHurstIndex
```
private void calculateVOIHurstIndex()
```
  - calculateSliceHurstIndex
```
private void calculateSliceHurstIndex()
```

Class AlgorithmHurstIndex

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

RED_OFFSET

PIXEL_GROUPING

VOI_GROUPING

minDist

maxDist

integerDistanceRound

RGBOffset

grouping

Constructor Detail

AlgorithmHurstIndex

AlgorithmHurstIndex

AlgorithmHurstIndex

AlgorithmHurstIndex

Method Detail

finalize

runAlgorithm

calculatePixelHurstIndex

calculateVOIHurstIndex

calculateSliceHurstIndex