ITK  4.2.0
Insight Segmentation and Registration Toolkit
Classes | Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Member Functions | Private Attributes
itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage > Class Template Reference

#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) )

 

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Public Types

typedef SmartPointer< const SelfConstPointer
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< SelfPointer
typedef
HessianToObjectnessMeasureImageFilter 
Self
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
- Public Types inherited from itk::ImageSource< TOutputImage >
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
typedef DataObject::Pointer DataObjectPointer
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
typedef OutputImageType::Pointer OutputImagePointer
- Public Types inherited from itk::ProcessObject
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef std::vector
< DataObjectIdentifierType
NameArray
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

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 ()
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageTypeGetInput (void) const
const InputImageTypeGetInput (unsigned int idx) const
virtual void PopBackInput ()
virtual void PopFrontInput ()
virtual void PushBackInput (const InputImageType *image)
virtual void PushFrontInput (const InputImageType *image)
virtual void SetInput (const InputImageType *image)
virtual void SetInput (unsigned int, const TInputImage *image)
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput (unsigned int idx)
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageTypeGetOutput (void)
const OutputImageTypeGetOutput (void) const
virtual
ProcessObject::DataObjectPointer 
MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual const bool & GetAbortGenerateData ()
NameArray GetInputNames () const
MultiThreader * GetMultiThreader () const
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
DataObjectPointerArraySizeType GetNumberOfOutputs () const
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
NameArray GetOutputNames () const
virtual const float & GetProgress ()
NameArray GetRequiredInputNames () const
bool HasInput (const DataObjectIdentifierType &key) const
bool HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
virtual void PrepareOutputs ()
virtual void PropagateRequestedRegion (DataObject *output)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
virtual void SetProgress (float _arg)
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
DataObjectPointerArray GetInputs ()
DataObjectPointerArray GetOutputs ()
DataObjectPointerArray GetIndexedInputs ()
DataObjectPointerArray GetIndexedOutputs ()
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
virtual void SetReleaseDataFlag (bool flag)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOn ()
void ReleaseDataFlagOff ()
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdTypeGetNumberOfThreads ()
- 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
CommandGetCommand (unsigned long tag)
bool GetDebug () const
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const TimeStampGetTimeStamp () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
void SetDebug (bool debugFlag) const
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetReferenceCount (int)
virtual void UnRegister () 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 Attributes

static const unsigned int ImageDimension = ::itk::GetImageDimension< InputImageType >::ImageDimension
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static const unsigned int InputImageDimension = TInputImage::ImageDimension
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >

Protected Member Functions

void BeforeThreadedGenerateData (void)
void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 HessianToObjectnessMeasureImageFilter ()
 ~HessianToObjectnessMeasureImageFilter ()
void PrintSelf (std::ostream &os, Indent indent) const
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void GenerateInputRequestedRegion ()
 ImageToImageFilter ()
virtual void VerifyInputInformation ()
 ~ImageToImageFilter ()
void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
virtual void GenerateData ()
 ImageSource ()
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
virtual ~ImageSource ()
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
virtual void AddOutput (DataObject *output)
bool AddRequiredInputName (const DataObjectIdentifierType &)
virtual void CacheInputReleaseDataFlags ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs ()
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs ()
bool IsIndexedName (const DataObjectIdentifierType &) const
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 itkLegacyMacro (virtual void RemoveInput(DataObject *input))
 itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
 itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
 itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType MakeNameFromIndex (DataObjectPointerArraySizeType) const
 ProcessObject ()
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
virtual void RemoveInput (const DataObjectIdentifierType &key)
virtual void RemoveInput (DataObjectPointerArraySizeType)
virtual void RemoveOutput (const DataObjectIdentifierType &key)
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
virtual void RestoreInputReleaseDataFlags ()
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void SetPrimaryInput (DataObject *input)
virtual void SetPrimaryOutput (DataObject *output)
void SetRequiredInputNames (const NameArray &)
virtual void VerifyPreconditions ()
 ~ProcessObject ()
DataObjectGetInput (const DataObjectIdentifierType &key)
const DataObjectGetInput (const DataObjectIdentifierType &key) const
DataObjectGetInput (DataObjectPointerArraySizeType)
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
DataObjectGetPrimaryInput ()
const DataObjectGetPrimaryInput () const
DataObjectGetOutput (const DataObjectIdentifierType &key)
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
DataObjectGetPrimaryOutput ()
const DataObjectGetPrimaryOutput () const
- Protected Member Functions inherited from itk::Object
 Object ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void SetTimeStamp (const TimeStamp &time)
virtual ~Object ()
- 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 ()

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

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) > 
InputToOutputRegionCopierType
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) > 
OutputToInputRegionCopierType

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 Department, 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
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
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

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 ( )
inlineprotected

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  )
protectedvirtual

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
protectedvirtual

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 
)
protectedvirtual

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: