itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkHessianToObjectnessMeasureImageFilter.h>

Inheritance diagram for itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >:

Classes
struct	AbsLessCompare

Public Types
using	ConstPointer = SmartPointer< const Self >
using	EigenValueArrayType = itk::FixedArray< EigenValueType, Self::ImageDimension >
using	EigenValueType = double
using	InputImageType = typename Superclass::InputImageType
using	InputPixelType = typename InputImageType::PixelType
using	OutputImageRegionType = typename OutputImageType::RegionType
using	OutputImageType = typename Superclass::OutputImageType
using	OutputPixelType = typename OutputImageType::PixelType
using	Pointer = SmartPointer< Self >
using	Self = HessianToObjectnessMeasureImageFilter
using	Superclass = ImageToImageFilter< TInputImage, TOutputImage >
Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	ConstPointer = SmartPointer< const Self >
using	InputImageConstPointer = typename InputImageType::ConstPointer
using	InputImagePixelType = typename InputImageType::PixelType
using	InputImagePointer = typename InputImageType::Pointer
using	InputImageRegionType = typename InputImageType::RegionType
using	InputImageType = TInputImage
using	OutputImagePixelType = typename Superclass::OutputImagePixelType
using	OutputImageRegionType = typename Superclass::OutputImageRegionType
using	Pointer = SmartPointer< Self >
using	Self = ImageToImageFilter
using	Superclass = ImageSource< TOutputImage >
Public Types inherited from itk::ImageSource< TOutputImage >
using	ConstPointer = SmartPointer< const Self >
using	DataObjectIdentifierType = Superclass::DataObjectIdentifierType
using	DataObjectPointer = DataObject::Pointer
using	DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
using	OutputImagePixelType = typename OutputImageType::PixelType
using	OutputImagePointer = typename OutputImageType::Pointer
using	OutputImageRegionType = typename OutputImageType::RegionType
using	OutputImageType = TOutputImage
using	Pointer = SmartPointer< Self >
using	Self = ImageSource
using	Superclass = ProcessObject
Public Types inherited from itk::ProcessObject
using	ConstPointer = SmartPointer< const Self >
using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType
using	DataObjectPointer = DataObject::Pointer
using	DataObjectPointerArray = std::vector< DataObjectPointer >
using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
using	MultiThreaderType = MultiThreaderBase
using	NameArray = std::vector< DataObjectIdentifierType >
using	Pointer = SmartPointer< Self >
using	Self = ProcessObject
using	Superclass = Object
Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >
using	Pointer = SmartPointer< Self >
using	Self = Object
using	Superclass = LightObject
Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >
using	Pointer = SmartPointer< Self >
using	Self = LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () const
virtual const char *	GetNameOfClass () const
Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput () const
const InputImageType *	GetInput (unsigned int idx) const
void	PopBackInput () override
void	PopFrontInput () override
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
virtual void	SetCoordinateTolerance (double _arg)
virtual double	GetCoordinateTolerance () const
virtual void	SetDirectionTolerance (double _arg)
virtual double	GetDirectionTolerance () const
Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput ()
const OutputImageType *	GetOutput () const
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData () const
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
NameArray	GetInputNames () const
DataObjectPointerArray	GetInputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
DataObjectPointerArray	GetOutputs ()
virtual float	GetProgress () const
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
void	IncrementProgress (float increment)
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float progress)
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag () const
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfWorkUnits (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfWorkUnits () const
MultiThreaderType *	GetMultiThreader () const
void	SetMultiThreader (MultiThreaderType *threader)
virtual void	PrepareOutputs ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary ()
const MetaDataDictionary &	GetMetaDataDictionary () const
virtual ModifiedTimeType	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetReferenceCount (int) override
void	UnRegister () const noexcept override
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)
virtual void	SetObjectName (std::string _arg)
virtual const std::string &	GetObjectName () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static void	SetGlobalDefaultDirectionTolerance (double)
static double	GetGlobalDefaultDirectionTolerance ()
static void	SetGlobalDefaultCoordinateTolerance (double)
static double	GetGlobalDefaultCoordinateTolerance ()
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
static Pointer	New ()

Static Public Attributes
static constexpr unsigned int	ImageDimension = InputImageType ::ImageDimension
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension
static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension
Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension
double	m_Alpha { 0.5 }
double	m_Beta { 0.5 }
double	m_Gamma { 5.0 }
unsigned int	m_ObjectDimension { 1 }
bool	m_BrightObject { true }
bool	m_ScaleObjectnessMeasure { true }
virtual void	SetAlpha (double _arg)
virtual double	GetAlpha () const
virtual void	SetBeta (double _arg)
virtual double	GetBeta () const
virtual void	SetGamma (double _arg)
virtual double	GetGamma () const
virtual void	SetScaleObjectnessMeasure (bool _arg)
virtual bool	GetScaleObjectnessMeasure () const
virtual void	ScaleObjectnessMeasureOn ()
virtual void	ScaleObjectnessMeasureOff ()
virtual void	SetObjectDimension (unsigned int _arg)
virtual unsigned int	GetObjectDimension () const
virtual void	SetBrightObject (bool _arg)
virtual bool	GetBrightObject () const
virtual void	BrightObjectOn ()
virtual void	BrightObjectOff ()
	HessianToObjectnessMeasureImageFilter ()
	~HessianToObjectnessMeasureImageFilter () override=default
void	PrintSelf (std::ostream &os, Indent indent) const override
void	VerifyPreconditions () ITKv5_CONST override
void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) override

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
using	OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
	ImageToImageFilter ()
	~ImageToImageFilter () override=default
void	VerifyInputInformation () ITKv5_CONST override
void	GenerateInputRequestedRegion () override
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
void	PushBackInput (const DataObject *input) override
void	PushFrontInput (const DataObject *input) override
Protected Member Functions inherited from itk::ImageSource< TOutputImage >
	ImageSource ()
	~ImageSource () override=default
void	GenerateData () override
void	ClassicMultiThread (ThreadFunctionType callbackFunction)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
virtual void	AfterThreadedGenerateData ()
virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
virtual bool	GetDynamicMultiThreading () const
virtual void	SetDynamicMultiThreading (bool _arg)
virtual void	DynamicMultiThreadingOn ()
virtual void	DynamicMultiThreadingOff ()
Protected Member Functions inherited from itk::ProcessObject
	ProcessObject ()
	~ProcessObject () override
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType idx)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
virtual void	AddInput (DataObject *input)
virtual void	RemoveInput (const DataObjectIdentifierType &key)
virtual void	RemoveInput (DataObjectPointerArraySizeType)
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryInputName () const
virtual void	SetPrimaryInput (DataObject *input)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
void	SetRequiredInputNames (const NameArray &)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
void	AddOptionalInputName (const DataObjectIdentifierType &)
void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryOutputName () const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	RemoveOutput (const DataObjectIdentifierType &key)
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
virtual void	SetPrimaryOutput (DataObject *output)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
virtual void	AddOutput (DataObject *output)
virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const
DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
bool	IsIndexedInputName (const DataObjectIdentifierType &) const
bool	IsIndexedOutputName (const DataObjectIdentifierType &) const
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual void	GenerateOutputInformation ()
virtual void	PropagateResetPipeline ()
virtual void	ReleaseInputs ()
virtual void	CacheInputReleaseDataFlags ()
virtual void	RestoreInputReleaseDataFlags ()
virtual bool	GetThreaderUpdateProgress () const
virtual void	ThreaderUpdateProgressOn ()
virtual void	ThreaderUpdateProgressOff ()
virtual void	SetThreaderUpdateProgress (bool arg)
Protected Member Functions inherited from itk::Object
	Object ()
	~Object () override
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)
Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float	progressFixedToFloat (uint32_t fixed)
static uint32_t	progressFloatToFixed (float f)
Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool	m_DynamicMultiThreading
Protected Attributes inherited from itk::ProcessObject
bool	m_Updating
TimeStamp	m_OutputInformationMTime
Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

template<typename TInputImage, typename TOutputImage>
class itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >

A filter to enhance M-dimensional objects in N-dimensional images.

The objectness measure is a generalization of Frangi's vesselness measure, which is based on the analysis of the the Hessian eigen system. The filter can enhance blob-like structures (M=0), vessel-like structures (M=1), 2D plate-like structures (M=2), hyper-plate-like structures (M=3) in N-dimensional images, with M<N. The filter takes an image of a Hessian pixels ( SymmetricSecondRankTensor pixels pixels ) and produces an enhanced image. The Hessian input image can be produced using itk::HessianRecursiveGaussianImageFilter.

References

Frangi, AF, Niessen, WJ, Vincken, KL, & Viergever, MA (1998). Multiscale Vessel Enhancement Filtering. In Wells, WM, Colchester, A, & Delp, S, Editors, MICCAI '98 Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, pages 130-137, Springer Verlag, 1998.

Additional information can be from in the Insight Journal: https://hdl.handle.net/1926/576

Author

Luca Antiga Ph.D. Medical Imaging Unit, Bioengineering Department, Mario Negri Institute, Italy.

See also

MultiScaleHessianBasedMeasureImageFilter

Hessian3DToVesselnessMeasureImageFilter

HessianRecursiveGaussianImageFilter

SymmetricEigenAnalysisImageFilter

SymmetricSecondRankTensor

Examples

SphinxExamples/src/Nonunit/Review/SegmentBloodVesselsWithMultiScaleHessianBasedMeasure/Code.cxx.

Definition at line 61 of file itkHessianToObjectnessMeasureImageFilter.h.

Member Typedef Documentation

ConstPointer

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 70 of file itkHessianToObjectnessMeasureImageFilter.h.

EigenValueArrayType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::EigenValueArrayType = itk::FixedArray<EigenValueType, Self::ImageDimension>

Definition at line 82 of file itkHessianToObjectnessMeasureImageFilter.h.

EigenValueType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::EigenValueType = double

Definition at line 81 of file itkHessianToObjectnessMeasureImageFilter.h.

InputImageType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::InputImageType = typename Superclass::InputImageType

Definition at line 72 of file itkHessianToObjectnessMeasureImageFilter.h.

InputPixelType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::InputPixelType = typename InputImageType::PixelType

Definition at line 74 of file itkHessianToObjectnessMeasureImageFilter.h.

OutputImageRegionType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::OutputImageRegionType = typename OutputImageType::RegionType

Definition at line 76 of file itkHessianToObjectnessMeasureImageFilter.h.

OutputImageType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::OutputImageType = typename Superclass::OutputImageType

Definition at line 73 of file itkHessianToObjectnessMeasureImageFilter.h.

OutputPixelType

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename OutputImageType::PixelType

Definition at line 75 of file itkHessianToObjectnessMeasureImageFilter.h.

Pointer

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 69 of file itkHessianToObjectnessMeasureImageFilter.h.

Self

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::Self = HessianToObjectnessMeasureImageFilter

Standard class type aliases.

Definition at line 67 of file itkHessianToObjectnessMeasureImageFilter.h.

Superclass

template<typename TInputImage , typename TOutputImage >

using itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::Superclass = ImageToImageFilter<TInputImage, TOutputImage>

Definition at line 68 of file itkHessianToObjectnessMeasureImageFilter.h.

Constructor & Destructor Documentation

HessianToObjectnessMeasureImageFilter()

template<typename TInputImage , typename TOutputImage >

itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::HessianToObjectnessMeasureImageFilter ( )

protected

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

~HessianToObjectnessMeasureImageFilter()

template<typename TInputImage , typename TOutputImage >

itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::~HessianToObjectnessMeasureImageFilter ( )

overrideprotecteddefault

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Member Function Documentation

BrightObjectOff()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::BrightObjectOff ( )

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

BrightObjectOn()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::BrightObjectOn ( )

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

CreateAnother()

template<typename TInputImage , typename TOutputImage >

virtual::itk::LightObject::Pointer itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::CreateAnother ( ) 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.

DynamicThreadedGenerateData()

template<typename TInputImage , typename TOutputImage >

void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::DynamicThreadedGenerateData ( const OutputImageRegionType &  outputRegionForThread )

overrideprotectedvirtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Reimplemented from itk::ImageSource< TOutputImage >.

GetAlpha()

template<typename TInputImage , typename TOutputImage >

virtual double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetAlpha ( ) const

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

GetBeta()

template<typename TInputImage , typename TOutputImage >

virtual double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetBeta ( ) const

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

GetBrightObject()

template<typename TInputImage , typename TOutputImage >

virtual bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetBrightObject ( ) const

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

GetGamma()

template<typename TInputImage , typename TOutputImage >

virtual double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetGamma ( ) const

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

GetNameOfClass()

template<typename TInputImage , typename TOutputImage >

virtual const char* itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

virtual

Runtime information support.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

GetObjectDimension()

template<typename TInputImage , typename TOutputImage >

virtual unsigned int itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetObjectDimension ( ) const

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

GetScaleObjectnessMeasure()

template<typename TInputImage , typename TOutputImage >

virtual bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetScaleObjectnessMeasure ( ) const

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

New()

template<typename TInputImage , typename TOutputImage >

static Pointer itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

PrintSelf()

template<typename TInputImage , typename TOutputImage >

void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

overrideprotectedvirtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

ScaleObjectnessMeasureOff()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::ScaleObjectnessMeasureOff ( )

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

ScaleObjectnessMeasureOn()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::ScaleObjectnessMeasureOn ( )

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

SetAlpha()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::SetAlpha ( double  _arg )

virtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

SetBeta()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::SetBeta ( double  _arg )

virtual

Set/Get Beta, the weight corresponding to R_B (the ratio of the largest eigenvalue that has to be small to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

SetBrightObject()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::SetBrightObject ( bool  _arg )

virtual

Enhance bright structures on a dark background if true, the opposite if false. Default is "On" (equivalent to vesselness).

SetGamma()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::SetGamma ( double  _arg )

virtual

Set/Get Gamma, the weight corresponding to S (the Frobenius norm of the Hessian matrix, or second-order structureness)

SetObjectDimension()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::SetObjectDimension ( unsigned int  _arg )

virtual

Set/Get the dimensionality of the object (0: points (blobs), 1: lines (vessels), 2: planes (plate-like structures), 3: hyper-planes. ObjectDimension must be smaller than ImageDimension.

SetScaleObjectnessMeasure()

template<typename TInputImage , typename TOutputImage >

virtual void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::SetScaleObjectnessMeasure ( bool  _arg )

virtual

Toggle scaling the objectness measure with the magnitude of the largest absolute eigenvalue

VerifyPreconditions()

template<typename TInputImage , typename TOutputImage >

void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::VerifyPreconditions ( )

overrideprotectedvirtual

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Reimplemented from itk::ProcessObject.

Member Data Documentation

ImageDimension

template<typename TInputImage , typename TOutputImage >

constexpr unsigned int itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::ImageDimension = InputImageType ::ImageDimension

staticconstexpr

Image dimension

Definition at line 79 of file itkHessianToObjectnessMeasureImageFilter.h.

m_Alpha

template<typename TInputImage , typename TOutputImage >

double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_Alpha { 0.5 }

private

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 164 of file itkHessianToObjectnessMeasureImageFilter.h.

m_Beta

template<typename TInputImage , typename TOutputImage >

double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_Beta { 0.5 }

private

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 165 of file itkHessianToObjectnessMeasureImageFilter.h.

m_BrightObject

template<typename TInputImage , typename TOutputImage >

bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_BrightObject { true }

private

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 168 of file itkHessianToObjectnessMeasureImageFilter.h.

m_Gamma

template<typename TInputImage , typename TOutputImage >

double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_Gamma { 5.0 }

private

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 166 of file itkHessianToObjectnessMeasureImageFilter.h.

m_ObjectDimension

template<typename TInputImage , typename TOutputImage >

unsigned int itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_ObjectDimension { 1 }

private

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 167 of file itkHessianToObjectnessMeasureImageFilter.h.

m_ScaleObjectnessMeasure

template<typename TInputImage , typename TOutputImage >

bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_ScaleObjectnessMeasure { true }

private

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 169 of file itkHessianToObjectnessMeasureImageFilter.h.

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

• itkHessianToObjectnessMeasureImageFilter.h