de.unihalle.informatik.MiToBo.filters.nonlinear

Class StatisticsFilter

java.lang.Object

de.unihalle.informatik.Alida.operator.ALDOperator

de.unihalle.informatik.MiToBo.core.operator.MTBOperator

de.unihalle.informatik.MiToBo.filters.nonlinear.StatisticsFilter

All Implemented Interfaces:

de.unihalle.informatik.Alida.datatypes.ALDConfigurationValidator, de.unihalle.informatik.Alida.operator.events.ALDOperatorExecutionProgressEventListener, EventListener

@ALDAOperator(genericExecutionMode=ALL,
              shortDescription="Extracts statistical values over local neighborhoods of given image.")
public class StatisticsFilter
extends MTBOperator

class for calculating several statistical values for the neighborhood of the pixels
in an image

Author:

glass

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	StatisticsFilter.FilterMethod available filtermodes

Nested classes/interfaces inherited from class de.unihalle.informatik.Alida.operator.ALDOperator

de.unihalle.informatik.Alida.operator.ALDOperator.HidingMode, de.unihalle.informatik.Alida.operator.ALDOperator.HistoryConstructionMode

Field Summary

Fields

Modifier and Type	Field and Description
private StatisticsFilter.FilterMethod	filterMethod
private MTBImage	inImg
private Integer	maskSize
private MTBImage	resultImg

Fields inherited from class de.unihalle.informatik.Alida.operator.ALDOperator

completeDAG, name, operatorExecutionEventlistenerList, portHashAccess, verbose, versionProvider

Constructor Summary

Constructors

Constructor and Description
StatisticsFilter()
StatisticsFilter(MTBImage inImg, StatisticsFilter.FilterMethod method, int maskSize)

Method Summary

Modifier and Type	Method and Description
private MTBImage	entropyFiltering(MTBImage img, int maskSize)
String	getDocumentation()
MTBImage	getInputImage()
MTBImage	getResultImage()
private double	kurtosis(Vector<Double> data, double mean, double var)
private MTBImage	kurtosisFiltering(MTBImage img, int maskSize)
protected void	operate()
private MTBImage	stdDeviationFiltering(MTBImage img, int maskSize)
private double	variance(Vector<Double> data, double mean)
private MTBImage	varianceFiltering(MTBImage img, int maskSize)

Methods inherited from class de.unihalle.informatik.MiToBo.core.operator.MTBOperator

readResolve

Methods inherited from class de.unihalle.informatik.Alida.operator.ALDOperator

addOperatorExecutionProgressEventListener, addParameter, addParameter, addParameterUnconditioned, fieldContained, fireOperatorExecutionProgressEvent, getALDPortHashAccessKey, getConstructionMode, getHidingMode, getInactiveParameterNames, getInInoutNames, getInInoutNames, getInNames, getInOutNames, getMissingRequiredInputs, getName, getNumParameters, getOutInoutNames, getOutNames, getParameter, getParameterDescriptor, getParameterDescriptorUnconditioned, getParameterNames, getParameterUnconditioned, getSupplementalNames, getVerbose, getVersion, handleOperatorExecutionProgressEvent, hasInOutParameters, hasParameter, isAnnotatedParameter, isConfigured, print, print, print, printInterface, printInterface, readHistory, reinitializeParameterDescriptors, removeOperatorExecutionProgressEventListener, removeParameter, runOp, runOp, runOp, setConstructionMode, setConstructionMode, setConstructionMode, setHidingMode, setName, setParameter, setParameterUnconditioned, setVerbose, toStringVerbose, unconfiguredItems, validate, validateCustom, validateGeneric, writeHistory, writeHistory, writeHistory

Methods inherited from class java.lang.Object

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

Field Detail

inImg

@Parameter(label="input image",
           required=true,
           direction=IN,
           supplemental=false,
           description="input image",
           mode=STANDARD,
           dataIOOrder=0)
private transient MTBImage inImg

filterMethod

@Parameter(label="filter method",
           required=true,
           direction=IN,
           supplemental=false,
           description="filtering method",
           mode=STANDARD,
           dataIOOrder=1)
private StatisticsFilter.FilterMethod filterMethod

maskSize

@Parameter(label="mask size",
           required=true,
           direction=IN,
           supplemental=false,
           description="size of filter mask",
           mode=STANDARD,
           dataIOOrder=2)
private Integer maskSize

resultImg

@Parameter(label="result image",
           required=true,
           direction=OUT,
           supplemental=false,
           description="result image",
           mode=STANDARD,
           dataIOOrder=3)
private transient MTBImage resultImg

Constructor Detail

StatisticsFilter

public StatisticsFilter()
                 throws de.unihalle.informatik.Alida.exceptions.ALDOperatorException

Throws:

de.unihalle.informatik.Alida.exceptions.ALDOperatorException

StatisticsFilter

public StatisticsFilter(MTBImage inImg,
                        StatisticsFilter.FilterMethod method,
                        int maskSize)
                 throws de.unihalle.informatik.Alida.exceptions.ALDOperatorException

Throws:

de.unihalle.informatik.Alida.exceptions.ALDOperatorException

Method Detail

operate

protected void operate()
                throws de.unihalle.informatik.Alida.exceptions.ALDOperatorException,
                       de.unihalle.informatik.Alida.exceptions.ALDProcessingDAGException

Specified by:

operate in class de.unihalle.informatik.Alida.operator.ALDOperator

Throws:

de.unihalle.informatik.Alida.exceptions.ALDOperatorException

de.unihalle.informatik.Alida.exceptions.ALDProcessingDAGException

varianceFiltering

private MTBImage varianceFiltering(MTBImage img,
                                   int maskSize)

Parameters:

img - input image

maskSize - size of filter mask

Returns:

variance filtered image

stdDeviationFiltering

private MTBImage stdDeviationFiltering(MTBImage img,
                                       int maskSize)

kurtosisFiltering

private MTBImage kurtosisFiltering(MTBImage img,
                                   int maskSize)

Parameters:

img - input image

maskSize - size of filter mask

Returns:

kurtosis filtered image

entropyFiltering

private MTBImage entropyFiltering(MTBImage img,
                                  int maskSize)

Parameters:

img - input image

maskSize - size of filter mask

Returns:

entropy filtered image

variance

private double variance(Vector<Double> data,
                        double mean)

Parameters:

data - vector of data

mean - mean of data

Returns:

variance of data

kurtosis

private double kurtosis(Vector<Double> data,
                        double mean,
                        double var)

Parameters:

data - vector of data

mean - mean of data

var - variance of data

Returns:

kurtosis of data

getResultImage

public MTBImage getResultImage()

getInputImage

public MTBImage getInputImage()

getDocumentation

public String getDocumentation()

Overrides:

getDocumentation in class de.unihalle.informatik.Alida.operator.ALDOperator