Orfeo Toolbox  3.16
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Protected Attributes | Private Member Functions | Private Attributes
itk::CumulativeGaussianOptimizer Class Reference
Numerics | Optimizers

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:

List of all members.

Public Types

typedef SmartPointer< const Self > ConstPointer
typedef CostFunctionType::Pointer CostFunctionPointer
typedef
CumulativeGaussianCostFunction 		CostFunctionType
typedef Array2D< double > DerivativeType
typedef
CostFunctionType::MeasureType 		MeasureType
typedef Superclass::ParametersType ParametersType
typedef SmartPointer< Self > Pointer
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 ()
Command * GetCommand (unsigned long tag)
virtual double GetComputedMean ()
virtual double GetComputedStandardDeviation ()
virtual const ParametersType & GetCurrentPosition ()
bool GetDebug () const
virtual MeasureType * GetFinalSampledArray ()
virtual double GetFitError ()
virtual const ParametersType & GetInitialPosition ()
virtual double GetLowerAsymptote ()
MetaDataDictionary & GetMetaDataDictionary (void)
const MetaDataDictionary & GetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual int GetReferenceCount () const
virtual const ScalesType & GetScales ()
const std::string GetStopConditionDescription () const
virtual double GetUpperAsymptote ()
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
void PrintArray (MeasureType *array)
virtual void Register () const
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 SetReferenceCount (int)
void SetScales (const ScalesType &scales)
virtual void SetVerbose (bool _arg)
void StartOptimization ()
virtual void UnRegister () const

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 void PrintHeader (std::ostream &os, Indent indent) const
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual void SetCurrentPosition (const ParametersType &param)

Protected Attributes

CostFunctionPointer m_CostFunction
ParametersType m_CurrentPosition
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_ScalesInitialized

Private Member Functions

MeasureType * ExtendGaussian (MeasureType *originalArray, MeasureType *extendedArray, int startingPointForInsertion)
double FindAverageSumOfSquaredDifferences (MeasureType *array1, MeasureType *array2)
void FindParametersOfGaussian (MeasureType *sampledGaussianArray)
void MeasureGaussianParameters (MeasureType *array)
void PrintComputedParameterHeader ()
void PrintComputedParameters ()
MeasureType * RecalculateExtendedArrayFromGaussianParameters (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
MeasureType * m_CumulativeGaussianArray
double m_DifferenceTolerance
MeasureType * m_FinalSampledArray
double m_FitError
double m_LowerAsymptote
double m_OffsetForMean
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

typedef SmartPointer<const Self> itk::CumulativeGaussianOptimizer::ConstPointer

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 57 of file itkCumulativeGaussianOptimizer.h.

typedef CostFunctionType::Pointer itk::MultipleValuedNonLinearOptimizer::CostFunctionPointer
inherited

Definition at line 45 of file itkMultipleValuedNonLinearOptimizer.h.

typedef CumulativeGaussianCostFunction itk::CumulativeGaussianOptimizer::CostFunctionType

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

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 60 of file itkCumulativeGaussianOptimizer.h.

typedef Array2D<double> itk::MultipleValuedNonLinearOptimizer::DerivativeType
inherited

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 66 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 137 of file itkLightObject.h.

typedef CostFunctionType::MeasureType itk::CumulativeGaussianOptimizer::MeasureType

Data array typedef.

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

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.

Reimplemented from itk::NonLinearOptimizer.

Reimplemented in itk::MultipleValuedNonLinearVnlOptimizer.

Definition at line 52 of file itkMultipleValuedNonLinearOptimizer.h.

typedef SmartPointer<Self> itk::CumulativeGaussianOptimizer::Pointer

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 56 of file itkCumulativeGaussianOptimizer.h.

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

Scale type. This array defines scale to be applied to parameters before being evaluated in the cost function. This allows to map to a more convenient space. In particular this is used to normalize parameter spaces in which some parameters have a different dynamic range.

Reimplemented from itk::Optimizer.

Definition at line 52 of file itkNonLinearOptimizer.h.

typedef CumulativeGaussianOptimizer itk::CumulativeGaussianOptimizer::Self

Standard typedefs.

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 54 of file itkCumulativeGaussianOptimizer.h.

typedef MultipleValuedNonLinearOptimizer itk::CumulativeGaussianOptimizer::Superclass

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 55 of file itkCumulativeGaussianOptimizer.h.

Constructor & Destructor Documentation

itk::CumulativeGaussianOptimizer::CumulativeGaussianOptimizer ( )
protected

Definition at line 27 of file itkCumulativeGaussianOptimizer.cxx.

References GetNameOfClass(), m_ComputedAmplitude, m_ComputedMean, m_ComputedStandardDeviation, m_ComputedTransitionHeight, m_CumulativeGaussianArray, m_DifferenceTolerance, m_FinalSampledArray, m_FitError, m_LowerAsymptote, m_OffsetForMean, m_StopConditionDescription, m_UpperAsymptote, m_Verbose, and NULL.

itk::CumulativeGaussianOptimizer::~CumulativeGaussianOptimizer ( )
protectedvirtual

Definition at line 45 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 389 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 401 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 149 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::MultipleValuedNonLinearOptimizer.

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

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

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

Turn debugging output on.

Definition at line 242 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 88 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 52 of file itkCumulativeGaussianOptimizer.cxx.

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

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

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

Definition at line 89 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValueType >::GetNumberOfElements(), and itk::Array< TValueType >::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 asign 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 414 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

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.

Referenced by CommandIterationUpdate::Execute().

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

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

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

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 381 of file itkObject.cxx.

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

Get the position to initialize the optimization.

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

virtual double itk::CumulativeGaussianOptimizer::GetLowerAsymptote ( )
virtual
MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  )
inherited
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 532 of file itkObject.cxx.

References NULL.

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::Brains2MaskImageIO::CanReadFile(), otb::DataNode< TPrecision, VDimension, TValuePrecision >::CopyFieldList(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetBodyPart(), itk::GDCMImageIO::GetInstitution(), itk::GDCMImageIO::GetManufacturer(), itk::GDCMImageIO::GetModality(), itk::GDCMImageIO::GetModel(), itk::GDCMImageIO::GetNumberOfSeriesInStudy(), itk::GDCMImageIO::GetNumberOfStudyRelatedSeries(), itk::GDCMImageIO::GetPatientAge(), itk::GDCMImageIO::GetPatientDOB(), itk::GDCMImageIO::GetPatientID(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetPatientSex(), itk::GDCMImageIO::GetScanOptions(), itk::GDCMImageIO::GetStudyDate(), itk::GDCMImageIO::GetStudyDescription(), itk::GDCMImageIO::GetStudyID(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), itk::GDCMImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::RAMDrivenAdaptativeStreamingManager< TImage >::PrepareStreaming(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), otb::JPEG2000ImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MRCImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ImageMetadataInterfaceBase::SetImage(), itk::NiftiImageIO::SetImageIOMetadataFromNIfTI(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::SetOutputParametersFromImage(), itk::NrrdImageIO::Write(), itk::GDCMImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  ) const
inherited
Returns:
A constant reference to this objects MetaDataDictionary.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 543 of file itkObject.cxx.

References NULL.

unsigned long 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::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 >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SpatialObject< TDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, and itk::SceneSpatialObject< TSpaceDimension >.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), 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 int itk::LightObject::GetReferenceCount ( ) const
inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 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 376 of file itkCumulativeGaussianOptimizer.cxx.

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

Return true if an observer is registered for this event.

Definition at line 467 of file itkObject.cxx.

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

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

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 457 of file itkObject.cxx.

void itk::CumulativeGaussianOptimizer::MeasureGaussianParameters ( MeasureType *  array)
private

Measure the parameters of a Gaussian sampled array.

Definition at line 167 of file itkCumulativeGaussianOptimizer.cxx.

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

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 >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, 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::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::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, 2 >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 297 of file itkObject.cxx.

Referenced by otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), otb::VectorDataModel::AddPointToGeometry(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::VectorDataModel::DeleteGeometry(), otb::VectorDataModel::EndGeometry(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOff(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), itk::MatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetChannelList(), itk::LBFGSBOptimizer::SetCostFunction(), itk::MINC2ImageIO::SetDimensionName(), itk::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), otb::MapProjectionAdapter::SetParameter(), otb::Function::GaussianRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), itk::ImageIOBase::SetSpacing(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), and otb::MapProjectionAdapter::SetWkt().

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

Method for creation through the object factory.

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

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 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

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

Print an array.

Definition at line 334 of file itkCumulativeGaussianOptimizer.cxx.

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

void itk::CumulativeGaussianOptimizer::PrintComputedParameterHeader ( )
private

Print the header for output table.

Definition at line 204 of file itkCumulativeGaussianOptimizer.cxx.

void itk::CumulativeGaussianOptimizer::PrintComputedParameters ( )
private

Print the computed parameters.

Definition at line 210 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 320 of file itkLightObject.cxx.

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

Definition at line 478 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 383 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 331 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 220 of file itkCumulativeGaussianOptimizer.cxx.

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

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

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

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

void itk::Object::RemoveAllObservers ( )
inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

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

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

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

void itk::MultipleValuedNonLinearOptimizer::SetCostFunction ( CostFunctionType *  costFunction)
virtualinherited

Set the cost function.

Connect a Cost Function

Definition at line 36 of file itkMultipleValuedNonLinearOptimizer.cxx.

References itk::CostFunction::GetNumberOfParameters().

void itk::Optimizer::SetCurrentPosition ( const ParametersType &  param)
protectedvirtualinherited

Set the current position.

Set the current position

Definition at line 65 of file itkOptimizer.cxx.

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

Definition at line 245 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 275 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 370 of file itkObject.cxx.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

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

Set the position to initialize the optimization.

Set the initial position

Definition at line 53 of file itkOptimizer.cxx.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary &  rhs)
inherited
Returns:
Set the MetaDataDictionary

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

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 347 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.

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

Start the optimizer.

Reimplemented from itk::Optimizer.

Definition at line 252 of file itkCumulativeGaussianOptimizer.cxx.

References itk::Array< TValueType >::GetNumberOfElements(), and itk::Array< TValueType >::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 324 of file itkObject.cxx.

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

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

Find the constant of the integrated sample.

Definition at line 344 of file itkCumulativeGaussianOptimizer.cxx.

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

Member Data Documentation

double itk::CumulativeGaussianOptimizer::m_ComputedAmplitude
private

The final amplitude of the Gaussian.

Definition at line 109 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_ComputedMean
private

The final mean of the Cumulative Gaussian.

Definition at line 103 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_ComputedStandardDeviation
private

The final standard deviation of the Cumulative Gaussian.

Definition at line 106 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 113 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

CostFunctionPointer itk::MultipleValuedNonLinearOptimizer::m_CostFunction
protectedinherited

Definition at line 76 of file itkMultipleValuedNonLinearOptimizer.h.

MeasureType* itk::CumulativeGaussianOptimizer::m_CumulativeGaussianArray
private

Original data array.

Definition at line 135 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

ParametersType itk::Optimizer::m_CurrentPosition
protectedinherited

Definition at line 98 of file itkOptimizer.h.

double itk::CumulativeGaussianOptimizer::m_DifferenceTolerance
private

When to stop the iteration for the Gaussian extension loop.

Definition at line 100 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 132 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 128 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_LowerAsymptote
private

The final lower asymptote of the Cumulative Gaussian.

Definition at line 119 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_OffsetForMean
private

Offset for the mean calculation.

Definition at line 122 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 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock
mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

bool itk::Optimizer::m_ScalesInitialized
protectedinherited

Definition at line 93 of file itkOptimizer.h.

OStringStream itk::CumulativeGaussianOptimizer::m_StopConditionDescription
private

Describe the stop condition

Definition at line 165 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

double itk::CumulativeGaussianOptimizer::m_UpperAsymptote
private

The final upper asymptote of the Cumulative Gaussian.

Definition at line 116 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

bool itk::CumulativeGaussianOptimizer::m_Verbose
private

Flag to print iteration results.

Definition at line 125 of file itkCumulativeGaussianOptimizer.h.

Referenced by CumulativeGaussianOptimizer().

The documentation for this class was generated from the following files:
Generated at Sun Feb 3 2013 01:27:53 for Orfeo Toolbox with doxygen 1.8.1.1