cmtk::TypedArrayNoiseEstimatorBrummer Class Reference

Estimate noise level in data stored in a TypedArray. More...

#include <cmtkTypedArrayNoiseEstimatorBrummer.h>

Inheritance diagram for cmtk::TypedArrayNoiseEstimatorBrummer:

Collaboration diagram for cmtk::TypedArrayNoiseEstimatorBrummer:

List of all members.

Public Types
typedef TypedArrayNoiseEstimatorBrummer	Self
	This class.
typedef TypedArrayNoiseEstimatorNaiveGaussian	Superclass
	Base class.
Public Member Functions
	TypedArrayNoiseEstimatorBrummer (const TypedArray *data, const size_t histogramBins=255)
	Constructor.
Protected Member Functions
	TypedArrayNoiseEstimatorBrummer ()
	Default constructor; should not be invoked by user code.
Static Protected Member Functions
static double	SijbersBiasHat (const Histogram< unsigned int >::SmartPtr histogram, const double sigmaHat, const int numBinsToUse)
	Compute bias in an ML noise estimate.
static double	SijbersLogLikelihood (const Histogram< unsigned int >::SmartPtr histogram, const double sigma, const int numBinsToUse)
	Compute the log-likelihood for the ML noise estimate.
static double	SijbersVarHat (const Histogram< unsigned int >::SmartPtr histogram, const double sigmaHat, const int numBinsToUse)
	Compute variance of an ML noise estimate.
static double	EstimateNumBinsToUse (const TypedArray *data, const Histogram< unsigned int >::SmartPtr histogram, const double sigmaHat)
	Figure out how many bins to use in ML noise estimate.

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Detailed Description

Estimate noise level in data stored in a TypedArray.

Estimate Rician noise variance using Brummer's method.

Author:

Mike Hasak

Definition at line 45 of file cmtkTypedArrayNoiseEstimatorBrummer.h.

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Member Typedef Documentation

typedef TypedArrayNoiseEstimatorBrummer cmtk::TypedArrayNoiseEstimatorBrummer::Self

This class.

Reimplemented from cmtk::TypedArrayNoiseEstimatorNaiveGaussian.

Reimplemented in cmtk::TypedArrayNoiseEstimatorMaximumLikelihood.

Definition at line 52 of file cmtkTypedArrayNoiseEstimatorBrummer.h.

typedef TypedArrayNoiseEstimatorNaiveGaussian cmtk::TypedArrayNoiseEstimatorBrummer::Superclass

Base class.

Reimplemented in cmtk::TypedArrayNoiseEstimatorMaximumLikelihood.

Definition at line 55 of file cmtkTypedArrayNoiseEstimatorBrummer.h.

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Constructor & Destructor Documentation

cmtk::TypedArrayNoiseEstimatorBrummer::TypedArrayNoiseEstimatorBrummer	(	const TypedArray *	data,
		const size_t	histogramBins = 255
	)

Constructor.

Definition at line 41 of file cmtkTypedArrayNoiseEstimatorBrummer.cxx.

References cmtk::HistogramBase::BinToValue(), cmtk::TypedArray::GetHistogram(), M_PI, and cmtk::Histogram< T >::SampleCount().

cmtk::TypedArrayNoiseEstimatorBrummer::TypedArrayNoiseEstimatorBrummer

(

)

[inline, protected]

Default constructor; should not be invoked by user code.

Definition at line 62 of file cmtkTypedArrayNoiseEstimatorBrummer.h.

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Member Function Documentation

double cmtk::TypedArrayNoiseEstimatorBrummer::EstimateNumBinsToUse	(	const TypedArray *	data,
		const Histogram< unsigned int >::SmartPtr	histogram,
		const double	sigmaHat
	)		[static, protected]

Figure out how many bins to use in ML noise estimate.

Section 2.3.1 from Sijbers et al, 2007

Definition at line 289 of file cmtkTypedArrayNoiseEstimatorBrummer.cxx.

References cmtk::Histogram< T >::GetNumBins().

double cmtk::TypedArrayNoiseEstimatorBrummer::SijbersBiasHat	(	const Histogram< unsigned int >::SmartPtr	histogram,
		const double	sigmaHat,
		const int	numBinsToUse
	)		[static, protected]

Compute bias in an ML noise estimate.

Eq. 26 from Sijbers et al, 2007

Definition at line 147 of file cmtkTypedArrayNoiseEstimatorBrummer.cxx.

References cmtk::HistogramBase::BinToValue(), and cmtk::Histogram< T >::GetNumBins().

double cmtk::TypedArrayNoiseEstimatorBrummer::SijbersLogLikelihood	(	const Histogram< unsigned int >::SmartPtr	histogram,
		const double	sigma,
		const int	numBinsToUse
	)		[static, protected]

Compute the log-likelihood for the ML noise estimate.

Eq. 26 from Sijbers et al, 2007

Definition at line 237 of file cmtkTypedArrayNoiseEstimatorBrummer.cxx.

References cmtk::HistogramBase::BinToValue().

double cmtk::TypedArrayNoiseEstimatorBrummer::SijbersVarHat	(	const Histogram< unsigned int >::SmartPtr	histogram,
		const double	sigmaHat,
		const int	numBinsToUse
	)		[static, protected]

Compute variance of an ML noise estimate.

Eq. 21 from Sijbers et al, 2007

Definition at line 266 of file cmtkTypedArrayNoiseEstimatorBrummer.cxx.

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The documentation for this class was generated from the following files:

• libs/Unstable/cmtkTypedArrayNoiseEstimatorBrummer.h
• libs/Unstable/cmtkTypedArrayNoiseEstimatorBrummer.cxx