Package gov.nih.mipav.model.algorithms

Class libdt.Dytex

java.lang.Object

gov.nih.mipav.model.algorithms.libdt.Dytex

Enclosing class:

libdt

public class libdt.Dytex
extends Object

Dynamic Texture class. This is the class for a standard dynamic texture. It serves as the base class for the online version of the DT. It includes functions for: 1) estimating parameters; 2) regularizing; 3) synthesizing video; 4) pre-processing video for usage with DT (for other classes).

Field Summary

Fields

Modifier and Type	Field	Description
libdt.Mat	A	invalid input: '<' observation mean
libdt.Mat	C	invalid input: '<' transition matrix
libdt.Mat	Cvs	invalid input: '<' indicates am empty Dt
libdt.DytexOptions	dtopt
boolean	isCvs	invalid input: '<' Cvs precomputed value
boolean	isempty	invalid input: '<' for synthesis, number of columns in a frame (0 if unknown).
libdt.Mat	mu0	invalid input: '<' observation matrix
libdt.CovMatrix	Q	invalid input: '<' observation noise covariance
libdt.CovMatrix	R	invalid input: '<' initial state mean
libdt.CovMatrix	S0	invalid input: '<' state noise covariance
int	vcols	invalid input: '<' initial state covariance
int	vrows	invalid input: '<' initial state covariance
libdt.Mat	Ymean	invalid input: '<' options for the Dytex

Constructor Summary

Constructors

Constructor	Description
Dytex()	invalid input: '<' Cvs computed
Dytex(libdt.DytexOptions opt)

Method Summary

Methods inherited from class java.lang.Object

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

Field Details

dtopt

public libdt.DytexOptions dtopt

Ymean

public libdt.Mat Ymean

invalid input: '<' options for the Dytex

A

public libdt.Mat A

invalid input: '<' observation mean

C

public libdt.Mat C

invalid input: '<' transition matrix

mu0

public libdt.Mat mu0

invalid input: '<' observation matrix

R

public libdt.CovMatrix R

invalid input: '<' initial state mean

Q

public libdt.CovMatrix Q

invalid input: '<' observation noise covariance

S0

public libdt.CovMatrix S0

invalid input: '<' state noise covariance

vrows

public int vrows

invalid input: '<' initial state covariance

vcols

public int vcols

invalid input: '<' initial state covariance

isempty

public boolean isempty

invalid input: '<' for synthesis, number of columns in a frame (0 if unknown).

Cvs

public libdt.Mat Cvs

invalid input: '<' indicates am empty Dt

isCvs

public boolean isCvs

invalid input: '<' Cvs precomputed value

Constructor Details

Dytex

public Dytex()

invalid input: '<' Cvs computed

Dytex

public Dytex(libdt.DytexOptions opt)