Orfeo Toolbox  4.2
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Protected Attributes | Private Member Functions | Private Attributes | List of all members
itk::CumulativeGaussianOptimizer Class Reference

This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data. More...

#include <itkCumulativeGaussianOptimizer.h>

+ Inheritance diagram for itk::CumulativeGaussianOptimizer:
+ Collaboration diagram for itk::CumulativeGaussianOptimizer:

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef CostFunctionType::Pointer CostFunctionPointer
 
typedef
CumulativeGaussianCostFunction 
CostFunctionType
 
typedef Array2D< double > DerivativeType
 
typedef
CostFunctionType::MeasureType 
MeasureType
 
typedef Superclass::ParametersType ParametersType
 
typedef SmartPointer< SelfPointer
 
typedef Superclass::ScalesType ScalesType
 
typedef CumulativeGaussianOptimizer Self
 
typedef
MultipleValuedNonLinearOptimizer 
Superclass
 

Public Member Functions

unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
virtual void Delete ()
 
CommandGetCommand (unsigned long tag)
 
virtual double GetComputedMean ()
 
virtual double GetComputedStandardDeviation ()
 
virtual const ParametersTypeGetCurrentPosition ()
 
bool GetDebug () const
 
virtual double GetDifferenceTolerance ()
 
virtual MeasureTypeGetFinalSampledArray ()
 
virtual double GetFitError ()
 
virtual const ParametersTypeGetInitialPosition ()
 
virtual const ScalesTypeGetInverseScales ()
 
virtual double GetLowerAsymptote ()
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const char * GetNameOfClass () const
 
virtual const std::string & GetObjectName ()
 
virtual int GetReferenceCount () const
 
virtual const ScalesTypeGetScales ()
 
virtual const std::string GetStopConditionDescription () const ITK_OVERRIDE
 
virtual const TimeStampGetTimeStamp () const
 
virtual double GetUpperAsymptote ()
 
virtual bool GetVerbose ()
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
 itkCloneMacro (Self)
 
virtual void Modified () const
 
void Print (std::ostream &os, Indent indent=0) const
 
void PrintArray (MeasureType *array)
 
virtual void Register () const ITK_OVERRIDE
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
virtual void SetCostFunction (CostFunctionType *costFunction)
 
void SetDataArray (MeasureType *dataArray)
 
void SetDebug (bool debugFlag) const
 
virtual void SetDifferenceTolerance (double _arg)
 
virtual void SetInitialPosition (const ParametersType &param)
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual void SetReferenceCount (int) ITK_OVERRIDE
 
void SetScales (const ScalesType &scales)
 
virtual void SetVerbose (bool _arg)
 
virtual void StartOptimization () ITK_OVERRIDE
 
virtual void UnRegister () const ITK_OVERRIDE
 

Static Public Member Functions

static void BreakOnError ()
 
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 

Protected Types

typedef int InternalReferenceCountType
 

Protected Member Functions

 CumulativeGaussianOptimizer ()
 
virtual ~CumulativeGaussianOptimizer ()
 
virtual LightObject::Pointer InternalClone () const
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void PrintSelf (std::ostream &os, Indent indent) const ITK_OVERRIDE
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual void SetCurrentPosition (const ParametersType &param)
 
virtual void SetTimeStamp (const TimeStamp &time)
 

Protected Attributes

CostFunctionPointer m_CostFunction
 
ParametersType m_CurrentPosition
 
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 
bool m_ScalesInitialized
 

Private Member Functions

MeasureTypeExtendGaussian (MeasureType *originalArray, MeasureType *extendedArray, int startingPointForInsertion)
 
double FindAverageSumOfSquaredDifferences (MeasureType *array1, MeasureType *array2)
 
void FindParametersOfGaussian (MeasureType *sampledGaussianArray)
 
void MeasureGaussianParameters (MeasureType *array)
 
void PrintComputedParameterHeader ()
 
void PrintComputedParameters ()
 
MeasureTypeRecalculateExtendedArrayFromGaussianParameters (MeasureType *originalArray, MeasureType *extendedArray, int startingPointForInsertion)
 
double VerticalBestShift (MeasureType *originalArray, MeasureType *newArray)
 

Private Attributes

double m_ComputedAmplitude
 
double m_ComputedMean
 
double m_ComputedStandardDeviation
 
double m_ComputedTransitionHeight
 
MeasureTypem_CumulativeGaussianArray
 
double m_DifferenceTolerance
 
MeasureTypem_FinalSampledArray
 
double m_FitError
 
double m_LowerAsymptote
 
double m_OffsetForMean
 
std::ostringstream m_StopConditionDescription
 
double m_UpperAsymptote
 
bool m_Verbose
 

Detailed Description

This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data.

This optimizer will only work if the data array is sampled from a Cumulative Gaussian curve. It's more of a curve fitter than an optimizer, with the advantage of being fast and specific. It works by taking the derivative of the Cumulative Gaussian sample then repeatedly extending the tails of the Gaussian and recalculating the Gaussian parameters until the change in iterations is within tolerance or very small. The Gaussian is then integrated to reproduce the Cumulative Gaussian and the asymptotes are estimated by using least squares fit to estimate the constant from integration.

Definition at line 47 of file itkCumulativeGaussianOptimizer.h.

Member Typedef Documentation

Definition at line 56 of file itkCumulativeGaussianOptimizer.h.

Definition at line 45 of file itkMultipleValuedNonLinearOptimizer.h.

Cost function typedef. NOTE: This optimizer is specific to fitting a Cumulative Gaussian.

Definition at line 60 of file itkCumulativeGaussianOptimizer.h.

Derivative type. It defines a type used to return the cost function derivative. Here a bidimensional Array is used for Multivalued functions

Definition at line 65 of file itkMultipleValuedNonLinearOptimizer.h.

typedef int itk::LightObject::InternalReferenceCountType
protectedinherited

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 152 of file itkLightObject.h.

Data array typedef.

Definition at line 63 of file itkCumulativeGaussianOptimizer.h.

typedef Superclass::ParametersType itk::MultipleValuedNonLinearOptimizer::ParametersType
inherited

Parameters type. It defines a position in the optimization search space.

Definition at line 51 of file itkMultipleValuedNonLinearOptimizer.h.

Definition at line 55 of file itkCumulativeGaussianOptimizer.h.

typedef Superclass::ScalesType itk::NonLinearOptimizer::ScalesType
inherited

Definition at line 52 of file itkNonLinearOptimizer.h.

Standard typedefs.

Definition at line 53 of file itkCumulativeGaussianOptimizer.h.

Definition at line 54 of file itkCumulativeGaussianOptimizer.h.

Constructor & Destructor Documentation

itk::CumulativeGaussianOptimizer::CumulativeGaussianOptimizer ( )
protected
itk::CumulativeGaussianOptimizer::~CumulativeGaussianOptimizer ( )
protectedvirtual

Definition at line 44 of file itkCumulativeGaussianOptimizer.cxx.

References m_FinalSampledArray.

Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject event,
Command cmd 
)
inherited

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

Definition at line 486 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver ( const EventObject event,
Command cmd 
) const
inherited

Definition at line 497 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::LightObject::BreakOnError ( )
staticinherited

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

Definition at line 150 of file itkLightObject.cxx.

virtual::itk::LightObject::Pointer itk::CumulativeGaussianOptimizer::CreateAnother ( void  ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

void itk::Object::DebugOff ( ) const
virtualinherited

Turn debugging output off.

Definition at line 327 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const
virtualinherited

Turn debugging output on.

Definition at line 317 of file itkObject.cxx.

void itk::LightObject::Delete ( )
virtualinherited

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

Delete a itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C++ delete method will not work with reference counting.

Definition at line 91 of file itkLightObject.cxx.

CumulativeGaussianOptimizer::MeasureType * itk::CumulativeGaussianOptimizer::ExtendGaussian ( MeasureType originalArray,
MeasureType extendedArray,
int  startingPointForInsertion 
)
private

Extend the tails of the Gaussian.

Definition at line 51 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements().

double itk::CumulativeGaussianOptimizer::FindAverageSumOfSquaredDifferences ( MeasureType array1,
MeasureType array2 
)
private

Calculates the squared difference error between each Gaussian iteration loop.

Definition at line 76 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements().

void itk::CumulativeGaussianOptimizer::FindParametersOfGaussian ( MeasureType sampledGaussianArray)
private

Given an array sampled from a Gaussin, compute the final parameters.

Definition at line 93 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements(), and itk::Array< TValue >::SetSize().

Command * itk::Object::GetCommand ( unsigned long  tag)
inherited

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to assign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

Definition at line 509 of file itkObject.cxx.

References itk::Object::GetCommand().

Referenced by itk::Object::GetCommand().

virtual double itk::CumulativeGaussianOptimizer::GetComputedMean ( )
virtual
virtual double itk::CumulativeGaussianOptimizer::GetComputedStandardDeviation ( )
virtual
virtual const ParametersType& itk::Optimizer::GetCurrentPosition ( )
virtualinherited

Get current position of the optimization.

bool itk::Object::GetDebug ( ) const
inherited

Get the value of the debug flag.

Definition at line 337 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

virtual double itk::CumulativeGaussianOptimizer::GetDifferenceTolerance ( )
virtual
virtual MeasureType* itk::CumulativeGaussianOptimizer::GetFinalSampledArray ( )
virtual
virtual double itk::CumulativeGaussianOptimizer::GetFitError ( )
virtual
bool itk::Object::GetGlobalWarningDisplay ( )
staticinherited

Get the value of the global debug output control flag.

Definition at line 479 of file itkObject.cxx.

virtual const ParametersType& itk::Optimizer::GetInitialPosition ( )
virtualinherited

Get the position to initialize the optimization.

Referenced by itk::SPSAOptimizer::GuessParameters().

virtual const ScalesType& itk::Optimizer::GetInverseScales ( )
virtualinherited
virtual double itk::CumulativeGaussianOptimizer::GetLowerAsymptote ( )
virtual
MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  )
inherited
const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  ) const
inherited
Returns
A constant reference to this objects MetaDataDictionary.

Definition at line 636 of file itkObject.cxx.

ModifiedTimeType itk::Object::GetMTime ( void  ) const
virtualinherited

Return this objects modified time.

Return the modification for this object.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexConjugatePixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::SpatialObject< VDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< TDimension >, itk::SpatialObject< TMesh::PointDimension >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::TransformToDisplacementFieldSource< TOutputImage, TTransformPrecisionType >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::LandmarkDisplacementFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, itk::DataObjectDecorator< T >, and itk::SceneSpatialObject< TSpaceDimension >.

Definition at line 357 of file itkObject.cxx.

Referenced by itk::LandmarkDisplacementFieldSource< TOutputImage >::GetMTime(), itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::TransformToDisplacementFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< VDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetMTime(), itk::SpatialObject< TMesh::PointDimension >::GetObjectMTime(), and itk::ProcessObject::UpdateOutputInformation().

virtual const char* itk::CumulativeGaussianOptimizer::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Referenced by CumulativeGaussianOptimizer().

virtual const std::string& itk::Object::GetObjectName ( )
virtualinherited
virtual int itk::LightObject::GetReferenceCount ( ) const
inlinevirtualinherited

Gets the reference count on this object.

Definition at line 112 of file itkLightObject.h.

virtual const ScalesType& itk::Optimizer::GetScales ( )
virtualinherited

Get current parameters scaling.

Referenced by itk::SPSAOptimizer::ComputeGradient().

const std::string itk::CumulativeGaussianOptimizer::GetStopConditionDescription ( ) const
virtual

Report the reason for stopping.

Reimplemented from itk::Optimizer.

Definition at line 390 of file itkCumulativeGaussianOptimizer.cxx.

const TimeStamp & itk::Object::GetTimeStamp ( ) const
virtualinherited

Return this object's time stamp.

Return the modification for this object.

Reimplemented in itk::RealTimeClock.

Definition at line 367 of file itkObject.cxx.

Referenced by itk::RealTimeClock::GetTimeStamp().

virtual double itk::CumulativeGaussianOptimizer::GetUpperAsymptote ( )
virtual
virtual bool itk::CumulativeGaussianOptimizer::GetVerbose ( )
virtual
static void itk::Object::GlobalWarningDisplayOff ( )
inlinestaticinherited

Definition at line 118 of file itkObject.h.

Referenced by itk::OutputWindow::DisplayText().

static void itk::Object::GlobalWarningDisplayOn ( )
inlinestaticinherited

Definition at line 116 of file itkObject.h.

bool itk::Object::HasObserver ( const EventObject event) const
inherited

Return true if an observer is registered for this event.

Definition at line 560 of file itkObject.cxx.

LightObject::Pointer itk::LightObject::InternalClone ( void  ) const
protectedvirtualinherited

Actual implementation of the clone method. This method should be reimplemeted in subclasses to clone the extra required parameters.

Reimplemented in itk::Transform< TScalar, NInputDimensions, NOutputDimensions >, itk::Transform< TScalar, 3, 2 >, itk::Transform< TScalarType, NInputDimensions, NOutputDimensions >, itk::Transform< double, NInputDimensions, NOutputDimensions >, itk::Transform< TScalar, NDimensions, NDimensions >, itk::CompositeTransform< TScalar, NDimensions >, itk::JensenHavrdaCharvatTsallisPointSetToPointSetMetricv4< TPointSet, TInternalComputationValueType >, itk::ConstantVelocityFieldTransform< TScalar, NDimensions >, itk::VelocityFieldTransform< TScalar, NDimensions >, itk::BSplineSmoothingOnUpdateDisplacementFieldTransform< TScalar, NDimensions >, itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >, itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >, itk::Statistics::SubsamplerBase< TSample >, itk::Statistics::RegionConstrainedSubsampler< TSample, TRegion >, itk::Statistics::GaussianMembershipFunction< TMeasurementVector >, itk::GaussianSmoothingOnUpdateDisplacementFieldTransform< TScalar, NDimensions >, itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >, itk::ExpectationBasedPointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet, TInternalComputationValueType >, itk::Statistics::DistanceToCentroidMembershipFunction< TVector >, itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >, and itk::AffineGeometryFrame< TScalar, NDimensions >.

Definition at line 77 of file itkLightObject.cxx.

References itk::LightObject::CreateAnother().

void itk::Object::InvokeEvent ( const EventObject event)
inherited
void itk::Object::InvokeEvent ( const EventObject event) const
inherited

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

Definition at line 550 of file itkObject.cxx.

itk::LightObject::itkCloneMacro ( Self  )
inherited
void itk::CumulativeGaussianOptimizer::MeasureGaussianParameters ( MeasureType array)
private

Measure the parameters of a Gaussian sampled array.

Definition at line 175 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements(), and itk::Math::pi.

void itk::Object::Modified ( void  ) const
virtualinherited

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Make sure this object's modified time is greater than all others.

Reimplemented in otb::SVMModel< TValue, TLabel >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexConjugatePixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, otb::SurfaceAdjacencyEffectCorrectionSchemeFilter< TInputImage, TOutputImage >, otb::SurfaceReflectanceToReflectanceFilter< TInputImage, TOutputImage >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, otb::ReflectanceToSurfaceReflectanceImageFilter< TInputImage, TOutputImage >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, itk::GPUImage< TPixel, VImageDimension >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, otb::PolyLineParametricPathWithValue< TValue, 2 >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 386 of file itkObject.cxx.

Referenced by itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >::AddAttribute(), itk::Function::ConvergenceMonitoringFunction< TScalar, TScalar >::AddEnergyValue(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputFilenameListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputFilenameListParameter::AddNullElement(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::AddSeed(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::AddSpecifiedRegion(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), itk::PolyLineParametricPath< VDimension >::AddVertex(), itk::ChainCodePath< 2 >::ChangeStep(), itk::ChainCodePath2D::ChangeStep(), itk::FourierSeriesPath< VDimension >::Clear(), itk::HilbertPath< TIndexValue, VDimension >::Clear(), itk::ChainCodePath< 2 >::Clear(), itk::ChainCodePath2D::Clear(), itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >::ClearAttributeSet(), itk::Function::ConvergenceMonitoringFunction< TScalar, TScalar >::ClearEnergyValues(), itk::MultiTransform< TScalar, NDimensions >::ClearTransformQueue(), otb::Wrapper::InputFilenameListParameter::ClearValue(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::Wrapper::InputFilenameListParameter::Erase(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::InitializeSeedList(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::InitializeSpecifiedRegionList(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::InsertNarrowBandNode(), itk::ChainCodePath2D::InsertStep(), itk::ChainCodePath< 2 >::InsertStep(), itk::MatrixOffsetTransformBase< TScalar, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), itk::MultiTransform< TScalar, NDimensions >::PopBackTransform(), itk::MultiTransform< TScalar, NDimensions >::PopFrontTransform(), itk::MultiTransform< TScalar, NDimensions >::PushBackTransform(), itk::MultiTransform< TScalar, NDimensions >::PushFrontTransform(), itk::Statistics::SubsamplerBase< TSample >::RequestMaximumNumberOfResults(), itk::AdaptImageFilter< TInputImage, TOutputImage, TAccessor >::SetAccessor(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetAlivePoints(), itk::CompositeTransform< TScalar, NDimensions >::SetAllTransformsToOptimize(), itk::GaussianInterpolateImageFunction< TInputImage, TCoordRep >::SetAlpha(), itk::WeightedAddImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetAlpha(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetAlpha(), otb::AtmosphericEffects< TSpectralResponse, TRSR >::SetAtmosphericRadiativeTerms(), itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >::SetAttributeSet(), itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >::SetAuxImage(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetBeta(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetBinaryMask(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetCenter(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::SetClosestPoint(), itk::ConstantPadImageFilter< TInputImage, TOutputImage >::SetConstant(), itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetConstant(), itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCovariance(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling(), itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), otb::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDimensions(), otb::ImageIOBase::SetDirection(), itk::ImageIOBase::SetDirection(), itk::ExtractImageFilter< TInputImage, TOutputImage >::SetDirectionCollapseToStrategy(), itk::ComposeDisplacementFieldsImageFilter< TInputImage, TOutputImage >::SetDisplacementField(), itk::InvertDisplacementFieldImageFilter< TInputImage, TOutputImage >::SetDisplacementField(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetEdgeWeight(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetEdgeWeight(), itk::watershed::Boundary< TScalar, TDimension >::SetFace(), itk::ExpNegativeImageFilter< TInputImage, TOutputImage >::SetFactor(), itk::FileListVideoIO::SetFileName(), itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::SetFixedAverageGradientMagnitude(), itk::watershed::Boundary< TScalar, TDimension >::SetFlatHash(), itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >::SetFunctor(), itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalHAlphaFunctor< TInputImage::PixelType, TOutputImage::PixelType > >::SetFunctor(), itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > >::SetFunctor(), itk::TernaryFunctorImageFilter< TInputMultiSpectralImage, TInputMultiSpectralInterpImage, TInputPanchroImage, TOutputImage, TFunctor >::SetFunctor(), itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >::SetFunctor(), itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >::SetFunctor(), itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::DivideOrZeroOut< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >::SetFunctor(), itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >::SetFunctor(), itk::ImageMomentsCalculator< TImage >::SetImage(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage >::SetIndex(), itk::MatrixIndexSelectionImageFilter< TInputImage, TOutputImage >::SetIndices(), itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >::SetInfoImage(), itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >::SetInitialBiasFieldCoefficients(), itk::AmoebaOptimizerv4::SetInitialSimplexDelta(), itk::AmoebaOptimizer::SetInitialSimplexDelta(), itk::HistogramAlgorithmBase< THistogram >::SetInputHistogram(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), itk::LabelVotingImageFilter< TInputImage, TOutputImage >::SetLabelForUndecidedPixels(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetLabelForUndecidedPixels(), itk::watershed::Segmenter< InputImageType >::SetLargestPossibleRegion(), itk::TemporalDataObject::SetLargestPossibleTemporalRegion(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputFilenameListParameter::SetListFromFileName(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold(), itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskingValue(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskingValue(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetMatrix(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep(), itk::watershed::SegmentTable< TScalar >::SetMaximumDepth(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError(), itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >::SetMaximumError(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetMaximumNumberOfIterations(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep(), itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMean(), itk::Statistics::MembershipFunctionBase< TMeasurementVector >::SetMeasurementVectorSize(), itk::Statistics::DistanceMetric< Array< double > >::SetMeasurementVectorSize(), itk::Statistics::Sample< ImageJointDomainTraits< TImage >::MeasurementVectorType >::SetMeasurementVectorSize(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNarrowBandTotalRadius(), itk::OpenCVVideoIO::SetNextFrameToRead(), itk::VXLVideoIO::SetNextFrameToRead(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputFilenameListParameter::SetNthFileName(), itk::CompositeTransform< TScalar, NDimensions >::SetNthTransformToOptimize(), otb::ImageIOBase::SetNumberOfDimensions(), itk::ImageIOBase::SetNumberOfDimensions(), itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >::SetNumberOfLayers(), itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >::SetNumberOfResultsRequested(), itk::FastMarchingReachedTargetNodesStoppingCriterion< TInput, TOutput >::SetNumberOfTargetsToBeReached(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetOffset(), itk::NeighborhoodOperatorImageFunction< TInputImage, TOutput >::SetOperator(), itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >::SetOperator(), itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >::SetOperator(), otb::ImageIOBase::SetOrigin(), itk::ImageIOBase::SetOrigin(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetOutputMaximum(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetOutputMinimum(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetOutsidePoints(), itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >::SetOutsideValue(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::SetOutsideValue(), otb::MapProjectionAdapter::SetParameter(), itk::Statistics::ProbabilityDistribution::SetParameters(), itk::DisplacementFieldTransform< TScalar, NDimensions >::SetParameters(), itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetPriorProbabilities(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage(), itk::ImportImageFilter< TPixel, VImageDimension >::SetRegion(), itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >::SetRegionOfInterest(), itk::ScaleTransform< TScalar, NDimensions >::SetScale(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction(), itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetShapePriorScaling(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetShrinkFactorsPerDimension(), itk::GaussianInterpolateImageFunction< TInputImage, TCoordRep >::SetSigma(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingConductance(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingConductance(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingIterations(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingIterations(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingTimeStep(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingTimeStep(), itk::PowellOptimizerv4< TInternalComputationValueType >::SetSpaceDimension(), itk::PowellOptimizer::SetSpaceDimension(), otb::ImageIOBase::SetSpacing(), itk::ImageIOBase::SetSpacing(), itk::SpatialObject< TMesh::PointDimension >::SetSpacing(), itk::ImageMomentsCalculator< TImage >::SetSpatialObjectMask(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetSpeedConstant(), itk::FastMarchingReachedTargetNodesStoppingCriterion< TInput, TOutput >::SetTargetCondition(), itk::FastMarchingReachedTargetNodesStoppingCriterion< TInput, TOutput >::SetTargetNodes(), itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage >::SetTargetPoints(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetTerminationUpdateThreshold(), itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetThreshold(), itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetThreshold(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetTranslation(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetTrialPoints(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold(), itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >::SetUseClockForSeed(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature(), itk::watershed::Boundary< TScalar, TDimension >::SetValid(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance(), itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >::SetVariance(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), otb::MapProjectionAdapter::SetWkt(), itk::LabelVotingImageFilter< TInputImage, TOutputImage >::UnsetLabelForUndecidedPixels(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::UnsetLabelForUndecidedPixels(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::UnsetMaximumNumberOfIterations(), and itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::UnsetPriorProbabilities().

static Pointer itk::CumulativeGaussianOptimizer::New ( )
static

Method for creation through the object factory.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const
inherited

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 137 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<(), and itk::VideoStream< TFrameType >::PrintSelf().

void itk::CumulativeGaussianOptimizer::PrintArray ( MeasureType array)

Print an array.

Definition at line 345 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements().

void itk::CumulativeGaussianOptimizer::PrintComputedParameterHeader ( )
private

Print the header for output table.

Definition at line 213 of file itkCumulativeGaussianOptimizer.cxx.

void itk::CumulativeGaussianOptimizer::PrintComputedParameters ( )
private

Print the computed parameters.

Definition at line 219 of file itkCumulativeGaussianOptimizer.cxx.

void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print header for all objects.

Definition at line 315 of file itkLightObject.cxx.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const
protectedinherited

Definition at line 571 of file itkObject.cxx.

void itk::CumulativeGaussianOptimizer::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Print Self method

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 397 of file itkCumulativeGaussianOptimizer.cxx.

void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 325 of file itkLightObject.cxx.

CumulativeGaussianOptimizer::MeasureType * itk::CumulativeGaussianOptimizer::RecalculateExtendedArrayFromGaussianParameters ( MeasureType originalArray,
MeasureType extendedArray,
int  startingPointForInsertion 
)
private

Recalulate the parameters of the extended Gaussian array.

Definition at line 230 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements().

void itk::Object::Register ( ) const
virtualinherited

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

Definition at line 397 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory(), and itk::ObjectFactoryBase::RegisterFactoryInternal().

void itk::Object::RemoveAllObservers ( )
inherited

Remove all observers .

Definition at line 530 of file itkObject.cxx.

void itk::Object::RemoveObserver ( unsigned long  tag)
inherited

Remove the observer with this tag value.

Definition at line 520 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

void itk::MultipleValuedNonLinearOptimizer::SetCostFunction ( CostFunctionType costFunction)
virtualinherited
void itk::Optimizer::SetCurrentPosition ( const ParametersType param)
protectedvirtualinherited

Set the current position.

Set the current position

Definition at line 77 of file itkOptimizer.cxx.

void itk::CumulativeGaussianOptimizer::SetDataArray ( MeasureType dataArray)

Definition at line 255 of file itkCumulativeGaussianOptimizer.cxx.

void itk::Object::SetDebug ( bool  debugFlag) const
inherited

Set the value of the debug flag. A non-zero value turns debugging on.

Definition at line 347 of file itkObject.cxx.

virtual void itk::CumulativeGaussianOptimizer::SetDifferenceTolerance ( double  _arg)
virtual

Set and get macros.

void itk::Object::SetGlobalWarningDisplay ( bool  val)
staticinherited

This is a global flag that controls whether any debug, warning or error messages are displayed.

Set the value of the global debug output control flag.

Definition at line 469 of file itkObject.cxx.

void itk::Optimizer::SetInitialPosition ( const ParametersType param)
virtualinherited

Set the position to initialize the optimization.

Set the initial position

Definition at line 66 of file itkOptimizer.cxx.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs)
inherited
virtual void itk::Object::SetObjectName ( std::string  _arg)
virtualinherited

A facility to help application programmers set a human identifiable name for a given object. This has no inherent use in ITK, but is a convenience to allow developers to provide a name for this object.

void itk::Object::SetReferenceCount ( int  ref)
virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 440 of file itkObject.cxx.

void itk::Optimizer::SetScales ( const ScalesType scales)
inherited

Set current parameters scaling.

Set scaling as an array of factors

Definition at line 40 of file itkOptimizer.cxx.

References itk::Array< TValue >::SetSize().

void itk::Object::SetTimeStamp ( const TimeStamp timeStamp)
protectedvirtualinherited

Set the time stamp of this object. This method must be used very carefully !!!. Most mortals will never need to call this method.

Set the time stamp of this object. To be used very carefully !!!. Most mortals will never need to call this method.

Definition at line 376 of file itkObject.cxx.

virtual void itk::CumulativeGaussianOptimizer::SetVerbose ( bool  _arg)
virtual
void itk::CumulativeGaussianOptimizer::StartOptimization ( void  )
virtual

Start the optimizer.

Reimplemented from itk::Optimizer.

Definition at line 262 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements(), and itk::Array< TValue >::SetSize().

void itk::Object::UnRegister ( ) const
virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 411 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::DeleteNonInternalFactory(), and itk::Object::New().

double itk::CumulativeGaussianOptimizer::VerticalBestShift ( MeasureType originalArray,
MeasureType newArray 
)
private

Find the constant of the integrated sample.

Definition at line 355 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValue >::GetNumberOfElements().

Member Data Documentation

double itk::CumulativeGaussianOptimizer::m_ComputedAmplitude
private

The final amplitude of the Gaussian.

Definition at line 111 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_ComputedMean
private

The final mean of the Cumulative Gaussian.

Definition at line 105 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_ComputedStandardDeviation
private

The final standard deviation of the Cumulative Gaussian.

Definition at line 108 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_ComputedTransitionHeight
private

The transition height (distance between upper and lower asymptotes) of the Cumulative Gaussian.

Definition at line 115 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

CostFunctionPointer itk::MultipleValuedNonLinearOptimizer::m_CostFunction
protectedinherited

Definition at line 75 of file itkMultipleValuedNonLinearOptimizer.h.

MeasureType* itk::CumulativeGaussianOptimizer::m_CumulativeGaussianArray
private

Original data array.

Definition at line 137 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

ParametersType itk::Optimizer::m_CurrentPosition
protectedinherited

Definition at line 99 of file itkOptimizer.h.

Referenced by itk::PowellOptimizer::SetSpaceDimension().

double itk::CumulativeGaussianOptimizer::m_DifferenceTolerance
private

When to stop the iteration for the Gaussian extension loop.

Definition at line 102 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

MeasureType* itk::CumulativeGaussianOptimizer::m_FinalSampledArray
private

Array of values computed from the final parameters of the Cumulative Gaussian.

Definition at line 134 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer(), and ~CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_FitError
private

Least squares fit error as a measure of goodness.

Definition at line 130 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_LowerAsymptote
private

The final lower asymptote of the Cumulative Gaussian.

Definition at line 121 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_OffsetForMean
private

Offset for the mean calculation.

Definition at line 124 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

InternalReferenceCountType itk::LightObject::m_ReferenceCount
mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 156 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock
mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 159 of file itkLightObject.h.

bool itk::Optimizer::m_ScalesInitialized
protectedinherited

Definition at line 94 of file itkOptimizer.h.

std::ostringstream itk::CumulativeGaussianOptimizer::m_StopConditionDescription
private

Describe the stop condition

Definition at line 167 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_UpperAsymptote
private

The final upper asymptote of the Cumulative Gaussian.

Definition at line 118 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

bool itk::CumulativeGaussianOptimizer::m_Verbose
private

Flag to print iteration results.

Definition at line 127 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().


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

Generated at Sat Aug 30 2014 17:01:04 for Orfeo Toolbox with doxygen 1.8.3.1