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

All Implemented Interfaces:

java.awt.event.ActionListener, java.awt.event.WindowListener, java.lang.Runnable, java.util.EventListener
```
public class AlgorithmHessian
extends AlgorithmBase
```
Provides functions to convolve an image with the second derivitive of the Gaussian function to obtain the Hessian matrix for a particular point on the image.

Author:

Evan McCreedy

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 float[]`	`GxxData`	Storage location of the second derivative of the Gaussian in the XX direction.
`private float[]`	`GxyData`	Storage location of the second derivative of the Gaussian in the XY direction.
`private float[]`	`GxzData`	Storage location of the second derivative of the Gaussian in the XZ direction.
`private float[]`	`GyyData`	Storage location of the second derivative of the Gaussian in the YY direction.
`private float[]`	`GyzData`	Storage location of the second derivative of the Gaussian in the YZ direction.
`private float[]`	`GzzData`	Storage location of the second derivative of the Gaussian in the ZZ direction.
`private int[]`	`kExtents`	Dimensionality of the kernel.
`private float[]`	`sigmas`	Standard deviations of the gaussian used to calculate the kernels.
`private ModelImage`	`srcImage`	Image to convolve with hessian.

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

AlgorithmHessian(ModelImage img, float[] sigmas)
Creates a new AlgorithmHessian object.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double[][]`	`hessian2D(float[] imgBuf, int[] extents, float x, float y)`	Convolves the source image at the point (x,y,z) with the hessian of the gaussian function.
`double[][]`	`hessian2D(float x, float y)`	Convolves the source image at the point (x,y) with the hessian of the gaussian function.
`double[][]`	`hessian3D(float[] imgBuf, int[] extents, float x, float y, float z)`	Convolves the source image at the point (x,y,z) with the hessian of the gaussian function.
`double[][]`	`hessian3D(float x, float y, float z)`	Convolves the source image at the point (x,y,z) with the hessian of the gaussian function.
`private void`	`makeKernels2D()`	Makes 2D derivative kernels to be used in the calculation of the hessian.
`private void`	`makeKernels3D()`	Makes 3D derivative kernels to be used in the calculation of the hessian.
`void`	`runAlgorithm()`	Should not be used for this algorithm -- just a placeholder.

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
  - GxxData
```
private float[] GxxData
```
    Storage location of the second derivative of the Gaussian in the XX direction.
  - GxyData
```
private float[] GxyData
```
    Storage location of the second derivative of the Gaussian in the XY direction.
  - GxzData
```
private float[] GxzData
```
    Storage location of the second derivative of the Gaussian in the XZ direction.
  - GyyData
```
private float[] GyyData
```
    Storage location of the second derivative of the Gaussian in the YY direction.
  - GyzData
```
private float[] GyzData
```
    Storage location of the second derivative of the Gaussian in the YZ direction.
  - GzzData
```
private float[] GzzData
```
    Storage location of the second derivative of the Gaussian in the ZZ direction.
  - kExtents
```
private int[] kExtents
```
    Dimensionality of the kernel.
  - sigmas
```
private float[] sigmas
```
    Standard deviations of the gaussian used to calculate the kernels.
  - srcImage
```
private ModelImage srcImage
```
    Image to convolve with hessian.
- Constructor Detail
  - AlgorithmHessian
```
public AlgorithmHessian(ModelImage img,
                        float[] sigmas)
```
    Creates a new AlgorithmHessian object.
    
    Parameters:
    
    img - DOCUMENT ME!
    
    sigmas - DOCUMENT ME!
- Method Detail
  - hessian2D
```
public double[][] hessian2D(float x,
                            float y)
```
    Convolves the source image at the point (x,y) with the hessian of the gaussian function.
    
    Parameters:
    
    x - float point index indicating point of interest
    
    y - float point index indicating point of interest
    
    Returns:
    
    hessian matrix for the point (x,y)
  - hessian2D
```
public double[][] hessian2D(float[] imgBuf,
                            int[] extents,
                            float x,
                            float y)
```
    Convolves the source image at the point (x,y,z) with the hessian of the gaussian function.
    
    Parameters:
    
    imgBuf - the image
    
    extents - the extents of the image
    
    x - float point index indicating point of interest
    
    y - float point index indicating point of interest
    
    Returns:
    
    hessian matrix for the point (x,y,z)
  - hessian3D
```
public double[][] hessian3D(float x,
                            float y,
                            float z)
```
    Convolves the source image at the point (x,y,z) with the hessian of the gaussian function.
    
    Parameters:
    
    x - float point index indicating point of interest
    
    y - float point index indicating point of interest
    
    z - float point index indicating point of interest
    
    Returns:
    
    hessian matrix for the point (x,y,z)
  - hessian3D
```
public double[][] hessian3D(float[] imgBuf,
                            int[] extents,
                            float x,
                            float y,
                            float z)
```
    Convolves the source image at the point (x,y,z) with the hessian of the gaussian function.
    
    Parameters:
    
    imgBuf - DOCUMENT ME!
    
    extents - DOCUMENT ME!
    
    x - float point index indicating point of interest
    
    y - float point index indicating point of interest
    
    z - float point index indicating point of interest
    
    Returns:
    
    hessian matrix for the point (x,y,z)
  - runAlgorithm
```
public void runAlgorithm()
```
    Should not be used for this algorithm -- just a placeholder.
    
    Specified by:
    
    runAlgorithm in class AlgorithmBase
  - makeKernels2D
```
private void makeKernels2D()
```
    Makes 2D derivative kernels to be used in the calculation of the hessian.
  - makeKernels3D
```
private void makeKernels3D()
```
    Makes 3D derivative kernels to be used in the calculation of the hessian.

Class AlgorithmHessian

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

GxxData

GxyData

GxzData

GyyData

GyzData

GzzData

kExtents

sigmas

srcImage

Constructor Detail

AlgorithmHessian

Method Detail

hessian2D

hessian2D

hessian3D

hessian3D

runAlgorithm

makeKernels2D

makeKernels3D