fact.extraction

Class NeighborPixelCorrelation

java.lang.Object

fact.extraction.NeighborPixelCorrelation

All Implemented Interfaces:

stream.Processor

public class NeighborPixelCorrelation
extends Object
implements stream.Processor

Calculate the average covariance and correlation of neighboring pixels to determine the correlation of theire timeseries

Created by jebuss on 04.04.16.

Field Summary

Fields

Modifier and Type	Field and Description
String	amplitudePositionsKey
String	correlationKey
String	covarianceKey
String	key
String	markerKey
String	pixelSetKey
boolean	returnScaledCorrelation
int	skipFirst
int	skipLast

Constructor Summary

Constructors

Constructor and Description
NeighborPixelCorrelation()

Method Summary

Modifier and Type	Method and Description
stream.Data	process(stream.Data item)

Methods inherited from class java.lang.Object

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

Field Detail

key

@Parameter(required=true,
           description="raw data array")
public String key

amplitudePositionsKey

@Parameter(required=true,
           description="array containing the positions of maximum amplitudes for each pixel")
public String amplitudePositionsKey

pixelSetKey

@Parameter(description="Key of the pixel sample that should be used, if no pixelset is given, the whole camera is used",
           defaultValue="")
public String pixelSetKey

skipFirst

@Parameter(description="Number of slices to be skipped at the time lines beginning",
           defaultValue="15")
public int skipFirst

skipLast

@Parameter(description="Number of slices to be skipped at the time lines end",
           defaultValue="50")
public int skipLast

correlationKey

@Parameter(required=false,
           description="Outputkey for the correlation of neighbouring pixels")
public String correlationKey

covarianceKey

@Parameter(required=false,
           description="Outputkey for the covariance of neighbouring pixels")
public String covarianceKey

markerKey

@Parameter(required=false,
           description="Outputkey for the covariance window marker")
public String markerKey

returnScaledCorrelation

@Parameter(required=false,
           description="Return scaled mean correlation (values between 0 and 1) if \'true\'.Return absolute values if \'false\'.",
           defaultValue="false")
public boolean returnScaledCorrelation

Constructor Detail

NeighborPixelCorrelation

public NeighborPixelCorrelation()

Method Detail

process

public stream.Data process(stream.Data item)

Specified by:

process in interface stream.Processor