at.mug.iqm.img.bundle.op

Class IqmOpStackStat

java.lang.Object

at.mug.iqm.api.operator.AbstractOperator

at.mug.iqm.img.bundle.op.IqmOpStackStat

All Implemented Interfaces:

IProgressEmitter, ICancelable, IOperator

public class IqmOpStackStat
extends AbstractOperator

Since:

2012 01

Author:

Ahammer, 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
IqmOpStackStat()

Method Summary

Modifier and Type	Method and Description
private double	calcAlikeness(double[] data, double greyTolerance) calculates Alikeness for data-vector.
private double	calcEnergy(double[] data) calculates statistic energy for data-vector.
private double	calcEntropy(double[] data) calculates statistic entropy for data-vector.
private double	calcKurtosis(double[] data) calculates statistic Kurtosis for data-vector.
private double	calcMean(double[] data) Calculates statistic mean for data-vector.
private double	calcMom3(double[] data) Calculates statistic moment3 for data-vector.
private double	calcMom4(double[] data) Calculates statistic moment4 for data-vector.
private double	calcRange(double[] data) Calculates statistic range for data-vector.
private double	calcSkewness(double[] data) calculates statistic Skewness for data-vector.
private double	calcStandardDeviation(double[] data) Calculates statistic standard deviation for data-vector.
private double	calcVariance(double[] data) Calculates statistic variance for data-vector.
String	getName() Gets the unique name of the IOperator by returning the "GlobalName" element from the resources[][] of the associated IOperatorDescriptor.
OperatorType	getType() Gets the type of the operator listed in an enumeration.
IResult	run(IWorkPackage wp) This method contains the entire logic (algorithm) of the operator.
private void	scanImage(WritableRaster wr, int nStackMax, int numBands, int method, int greyTolerance) Calculates different parameters based on vectors.

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

IqmOpStackStat

public IqmOpStackStat()

Method Detail

run

public IResult run(IWorkPackage wp)

Description copied from interface: IOperator

This method contains the entire logic (algorithm) of the operator. An IOperator does not declare any class members, since the execution of this code must be thread-safe.

Specified by:

run in interface IOperator

Specified by:

run in class AbstractOperator

Parameters:

wp - the parameters and sources

Returns:

a IResult containing all processed data

getName

public String getName()

Description copied from interface: IOperator

Gets the unique name of the IOperator by returning the "GlobalName" element from the resources[][] of the associated IOperatorDescriptor.

Specified by:

getName in interface IOperator

Specified by:

getName in class AbstractOperator

Returns:

the unique name of the operator

getType

public OperatorType getType()

Description copied from interface: IOperator

Gets the type of the operator listed in an enumeration.

Specified by:

getType in interface IOperator

Specified by:

getType in class AbstractOperator

Returns:

the OperatorType

calcRange

private double calcRange(double[] data)

Calculates statistic range for data-vector.

Parameters:

data -

Returns:

the range

calcMean

private double calcMean(double[] data)

Calculates statistic mean for data-vector.

Parameters:

data -

Returns:

the mean

calcStandardDeviation

private double calcStandardDeviation(double[] data)

Calculates statistic standard deviation for data-vector.

Parameters:

data -

Returns:

the standard deviation

calcVariance

private double calcVariance(double[] data)

Calculates statistic variance for data-vector.

Parameters:

data -

Returns:

the variance

calcMom3

private double calcMom3(double[] data)

Calculates statistic moment3 for data-vector.

Parameters:

data -

Returns:

the 3rd moment

calcMom4

private double calcMom4(double[] data)

Calculates statistic moment4 for data-vector.

Parameters:

data -

Returns:

the 4th moment

calcEnergy

private double calcEnergy(double[] data)

calculates statistic energy for data-vector.

Parameters:

data -

Returns:

energy

calcEntropy

private double calcEntropy(double[] data)

calculates statistic entropy for data-vector.

Parameters:

data -

Returns:

entropy

calcSkewness

private double calcSkewness(double[] data)

calculates statistic Skewness for data-vector.

Parameters:

data -

Returns:

skewness

calcKurtosis

private double calcKurtosis(double[] data)

calculates statistic Kurtosis for data-vector.

Parameters:

data -

Returns:

kurtosis

calcAlikeness

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

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

Parameters:

data -

greyTolerance -

Returns:

alikeness

scanImage

private void scanImage(WritableRaster wr,
                       int nStackMax,
                       int numBands,
                       int method,
                       int greyTolerance)

Calculates different parameters based on vectors.

Parameters:

wr -

nStackMax -

numBands -

method -

greyTolerance -