at.mug.iqm.img.bundle.op

Class IqmOpNexelScan

java.lang.Object

at.mug.iqm.api.operator.AbstractOperator

at.mug.iqm.img.bundle.op.IqmOpNexelScan

All Implemented Interfaces:

IProgressEmitter, ICancelable, IOperator

public class IqmOpNexelScan
extends AbstractOperator

Since:

2011 12

Author:

Ahammer, Kleinoscheg, Kainz

Field Summary

Fields

Modifier and Type	Field and Description
private double	typeGrayMax

Fields inherited from class at.mug.iqm.api.operator.AbstractOperator

isCancelable, name, parentTask, pcs, type

Constructor Summary

Constructors

Constructor and Description
IqmOpNexelScan()

Method Summary

Modifier and Type	Method and Description
private javax.media.jai.PlanarImage	addBorder(javax.media.jai.PlanarImage pi, int kernelSize, int borderMethod, double[] borderValue) Adds a border to the PlanarImage.
private double	calcAlikeness(double[] kernel, double greyTolerance) calculates Alikeness for kernel-array.
private double	calcEnergy(double[] kernel) calculates statistic energy for kernel-array.
private double	calcEntropy(double[] kernel) calculates statistic entropy for kernel-array.
private double	calcKurtosis(double[] kernel) calculates statistic Kurtosis for kernel-array.
private double	calcMean(double[] kernel) Calculates statistic mean for kernel-array.
private double	calcMom3(double[] kernel) Calculates statistic moment3 for kernel-array.
private double	calcMom4(double[] kernel) Calculates statistic moment4 for kernel-array.
private double	calcRange(double[] kernel) Calculates statistic range for kernel-array.
private double	calcSkewness(double[] kernel) calculates statistic Skewness for kernel-array.
private double	calcStandardDeviation(double[] kernel) Calculates statistic standard deviation for kernel-array.
private double	calcVariance(double[] kernel) Calculates statistic variance for kernel-array.
String	getName()
OperatorType	getType()
IResult	run(IWorkPackage wp)
private void	scanImage(WritableRaster wr, javax.media.jai.PlanarImage piWithBorder, int kernelSize, int method, int greyTolerance) Calculates different parameters based on arrays.
private void	scanImageWithROI(WritableRaster wr, javax.media.jai.PlanarImage piWithBorder, int kernelSize, int method) Calculates different parameters based on JAI API.

Methods inherited from class at.mug.iqm.api.operator.AbstractOperator

addProgressListener, fireProgressChanged, getParentTask, getPcs, getProgressListeners, initializeOperator, isCancelable, isCancelled, setCancelable, setParentTask

Methods inherited from class java.lang.Object

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

Field Detail

typeGrayMax

private double typeGrayMax

Constructor Detail

IqmOpNexelScan

public IqmOpNexelScan()

Method Detail

run

public IResult run(IWorkPackage wp)

Specified by:

run in interface IOperator

Specified by:

run in class AbstractOperator

getName

public String getName()

Specified by:

getName in interface IOperator

Specified by:

getName in class AbstractOperator

getType

public OperatorType getType()

Specified by:

getType in interface IOperator

Specified by:

getType in class AbstractOperator

addBorder

private javax.media.jai.PlanarImage addBorder(javax.media.jai.PlanarImage pi,
                                              int kernelSize,
                                              int borderMethod,
                                              double[] borderValue)

Adds a border to the PlanarImage.

Parameters:

pi -

kernelSize -

borderMethod -

borderValue -

Returns:

the image with the border

scanImageWithROI

private void scanImageWithROI(WritableRaster wr,
                              javax.media.jai.PlanarImage piWithBorder,
                              int kernelSize,
                              int method)

Calculates different parameters based on JAI API. Slow! only Mean StDev and Entropy!!!!

Parameters:

wr -

piWithBorder -

kernelSize -

statMethod -

calcRange

private double calcRange(double[] kernel)

Calculates statistic range for kernel-array.

Parameters:

kernel -

Returns:

the range

calcMean

private double calcMean(double[] kernel)

Calculates statistic mean for kernel-array.

Parameters:

kernel -

Returns:

the mean

calcStandardDeviation

private double calcStandardDeviation(double[] kernel)

Calculates statistic standard deviation for kernel-array.

Parameters:

kernel -

Returns:

the standard deviation

calcVariance

private double calcVariance(double[] kernel)

Calculates statistic variance for kernel-array.

Parameters:

kernel -

Returns:

the variance

calcMom3

private double calcMom3(double[] kernel)

Calculates statistic moment3 for kernel-array.

Parameters:

kernel -

Returns:

the 3rd moment

calcMom4

private double calcMom4(double[] kernel)

Calculates statistic moment4 for kernel-array.

Parameters:

kernel -

Returns:

the 4th moment

calcEnergy

private double calcEnergy(double[] kernel)

calculates statistic energy for kernel-array.

Parameters:

kernel -

Returns:

energy

calcEntropy

private double calcEntropy(double[] kernel)

calculates statistic entropy for kernel-array.

Parameters:

kernel -

Returns:

entropy

calcSkewness

private double calcSkewness(double[] kernel)

calculates statistic Skewness for kernel-array.

Parameters:

kernel -

Returns:

skewness

calcKurtosis

private double calcKurtosis(double[] kernel)

calculates statistic Kurtosis for kernel-array.

Parameters:

kernel -

Returns:

kurtosis

calcAlikeness

private double calcAlikeness(double[] kernel,
                             double greyTolerance)

calculates Alikeness for kernel-array. Alikeness is the number of pixels that have the same grey value as the center pixel a tolerance percentage can be set

Parameters:

kernel -

greyTolerance -

Returns:

alikeness

scanImage

private void scanImage(WritableRaster wr,
                       javax.media.jai.PlanarImage piWithBorder,
                       int kernelSize,
                       int method,
                       int greyTolerance)

Calculates different parameters based on arrays.

Parameters:

wr -

piWithBorder -

kernelSize -

statMethod -

method -

greyTolerance -