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

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

#include <itkHessianToObjectnessMeasureImageFilter.h>

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

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

List of all members.

Classes
class	AbsLessEqualCompare
	Returns ( abs(a) <= abs(b) ) More...
Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef itk::FixedArray < EigenValueType, itkGetStaticConstMacro(ImageDimension) >	EigenValueArrayType
typedef double	EigenValueType
typedef Superclass::InputImageType	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef OutputImageType::RegionType	OutputImageRegionType
typedef Superclass::OutputImageType	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef HessianToObjectnessMeasureImageFilter	Self
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
	typedef (Concept::Convertible< double, OutputPixelType >) DoubleConvertibleToOutputCheck
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 ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = ::itk::GetImageDimension< InputImageType >::ImageDimension
Protected Member Functions
void	BeforeThreadedGenerateData (void)
void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
	HessianToObjectnessMeasureImageFilter ()
	~HessianToObjectnessMeasureImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
	HessianToObjectnessMeasureImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
double	m_Alpha
double	m_Beta
bool	m_BrightObject
double	m_Gamma
unsigned int	m_ObjectDimension
bool	m_ScaleObjectnessMeasure

---

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: http://hdl.handle.net/1926/576

Author:

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

See also:

MultiScaleHessianBasedMeasureImageFilter

Hessian3DToVesselnessMeasureImageFilter

HessianSmoothedRecursiveGaussianImageFilter

SymmetricEigenAnalysisImageFilter

SymmetricSecondRankTensor

Definition at line 62 of file itkHessianToObjectnessMeasureImageFilter.h.

---

Member Typedef Documentation

template<typename TInputImage , typename TOutputImage >

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

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

Definition at line 72 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef itk::FixedArray< EigenValueType, itkGetStaticConstMacro(ImageDimension) > itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::EigenValueArrayType

Definition at line 84 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::EigenValueType

Definition at line 83 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef Superclass::InputImageType itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::InputImageType

Some convenient typedefs.

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

Definition at line 74 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef InputImageType::PixelType itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::InputPixelType

Definition at line 76 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef OutputImageType::RegionType itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::OutputImageRegionType

Superclass typedefs.

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

Definition at line 78 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef Superclass::OutputImageType itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 75 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef OutputImageType::PixelType itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 77 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef SmartPointer< Self > itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::Pointer

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

Definition at line 71 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef HessianToObjectnessMeasureImageFilter itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

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

Definition at line 67 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef ImageToImageFilter< TInputImage, TOutputImage > itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::Superclass

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

Definition at line 69 of file itkHessianToObjectnessMeasureImageFilter.h.

---

Constructor & Destructor Documentation

template<typename TInputImage , typename TOutputImage >

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

(

)

[protected]

End concept checking

template<typename TInputImage , typename TOutputImage >

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

(

)

[inline, protected]

End concept checking

Definition at line 141 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

(

const Self &

)

[private]

---

Member Function Documentation

template<typename TInputImage , typename TOutputImage >

void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData

(

void

)

[protected, virtual]

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TInputImage , typename TOutputImage >

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

(

)

[virtual]

Enhance bright structures on a dark background if true, the opposite if false.

template<typename TInputImage , typename TOutputImage >

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

(

)

[virtual]

Enhance bright structures on a dark background if true, the opposite if false.

template<typename TInputImage , typename TOutputImage >

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

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.

template<typename TInputImage , typename TOutputImage >

virtual double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetBeta

(

)

const [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.

template<typename TInputImage , typename TOutputImage >

virtual bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetBrightObject

(

)

const [virtual]

Enhance bright structures on a dark background if true, the opposite if false.

template<typename TInputImage , typename TOutputImage >

virtual double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetGamma

(

)

const [virtual]

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

template<typename TInputImage , typename TOutputImage >

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

(

)

const [virtual]

Runtime information support.

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

template<typename TInputImage , typename TOutputImage >

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

(

)

const [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.

template<typename TInputImage , typename TOutputImage >

virtual bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::GetScaleObjectnessMeasure

(

)

const [virtual]

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

template<typename TInputImage , typename TOutputImage >

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

(

)

[static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<typename TInputImage , typename TOutputImage >

void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::operator=

(

const Self &

)

[private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

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

template<typename TInputImage , typename TOutputImage >

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

End concept checking

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

template<typename TInputImage , typename TOutputImage >

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

(

)

[virtual]

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

template<typename TInputImage , typename TOutputImage >

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

(

)

[virtual]

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

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.

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.

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.

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)

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.

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

template<typename TInputImage , typename TOutputImage >

void itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		ThreadIdType	threadId
	)		[protected, virtual]

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:

GenerateData(), SplitRequestedRegion()

Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TInputImage , typename TOutputImage >

itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::typedef

(

Concept::Convertible< double, OutputPixelType >

)

Begin concept checking This class requires DoubleConvertibleToOutputCheck in the form of ( Concept::Convertible< double, OutputPixelType > )

---

Member Data Documentation

template<typename TInputImage , typename TOutputImage >

const unsigned int itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::ImageDimension = ::itk::GetImageDimension< InputImageType >::ImageDimension [static]

Image dimension

Definition at line 81 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_Alpha [private]

Definition at line 168 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_Beta [private]

Definition at line 169 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_BrightObject [private]

Definition at line 172 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

double itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_Gamma [private]

Definition at line 170 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

unsigned int itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_ObjectDimension [private]

Definition at line 171 of file itkHessianToObjectnessMeasureImageFilter.h.

template<typename TInputImage , typename TOutputImage >

bool itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::m_ScaleObjectnessMeasure [private]

Definition at line 173 of file itkHessianToObjectnessMeasureImageFilter.h.

---

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

• itkHessianToObjectnessMeasureImageFilter.h