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itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference
[Level Set-Based Segmentation Filters]

Segments structures in images based on a user supplied edge potential map. More...

#include <itkShapeDetectionLevelSetImageFilter.h>

Inheritance diagram for itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:
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Collaboration diagram for itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:
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List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
typedef
Superclass::FeatureImageType 
FeatureImageType
enum  FilterStateType
typedef
FiniteDifferenceFunction
< Image< TOutputPixelType,::itk::GetImageDimension
< TInputImage >
::ImageDimension > > 
FiniteDifferenceFunctionType
typedef Superclass::IndexType IndexType
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef Superclass::InputImageType InputImageType
typedef TInputImage::PixelType InputPixelType
typedef NumericTraits
< InputPixelType >::ValueType 
InputPixelValueType
typedef std::vector
< LayerPointerType
LayerListType
typedef ObjectStore
< LayerNodeType
LayerNodeStorageType
typedef
SparseFieldLevelSetNode
< IndexType
LayerNodeType
typedef LayerType::Pointer LayerPointerType
typedef SparseFieldLayer
< LayerNodeType
LayerType
typedef
Superclass::NeighborhoodScalesType 
NeighborhoodScalesType
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
typedef
Superclass::OutputImagePointer 
OutputImagePointer
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
typedef Superclass::OutputImageType OutputImageType
typedef Image
< TOutputPixelType,::itk::GetImageDimension
< TInputImage >
::ImageDimension >::PixelType 
OutputPixelType
typedef NumericTraits
< OutputPixelType >::ValueType 
OutputPixelValueType
typedef OutputPixelType PixelType
typedef SmartPointer< SelfPointer
typedef Superclass::RadiusType RadiusType
typedef
SegmentationLevelSetFunction
< OutputImageType,
FeatureImageType
SegmentationFunctionType
typedef
ShapeDetectionLevelSetImageFilter 
Self
typedef
ShapeDetectionFunctionType::Pointer 
ShapeDetectionFunctionPointer
typedef
ShapeDetectionLevelSetFunction
< OutputImageType,
FeatureImageType
ShapeDetectionFunctionType
typedef
SegmentationFunctionType::ImageType 
SpeedImageType
typedef Image< StatusType,
itkGetStaticConstMacro(ImageDimension)> 
StatusImageType
typedef signed char StatusType
typedef
SegmentationLevelSetImageFilter
< TInputImage, TFeatureImage,
TOutputPixelType > 
Superclass
typedef Superclass::TimeStepType TimeStepType
typedef std::vector< ValueTypeUpdateBufferType
typedef Superclass::ValueType ValueType
typedef
SegmentationFunctionType::VectorImageType 
VectorImageType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual bool CanRunInPlace () const
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
void GenerateAdvectionImage ()
void GenerateSpeedImage ()
virtual const bool & GetAbortGenerateData ()
virtual const VectorImageTypeGetAdvectionImage () const
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual const
FiniteDifferenceFunctionType::Pointer
GetDifferenceFunction () const
virtual const unsigned int & GetElapsedIterations ()
DataObjectPointerArrayGetInputs ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual SegmentationFunctionTypeGetSegmentationFunction ()
virtual const SpeedImageTypeGetSpeedImage () const
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetAdvectionImage (VectorImageType *v)
void SetDebug (bool debugFlag) const
virtual void SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
virtual void SetInitialImage (InputImageType *f)
void SetInput2 (const FeatureImageType *input)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void SetSegmentationFunction (SegmentationFunctionType *s)
void SetSpeedImage (SpeedImageType *s)
void SetStateToInitialized ()
void SetStateToUninitialized ()
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)

void SetMaximumIterations (unsigned int i)
unsigned int GetMaximumIterations ()

virtual void SetFeatureImage (const FeatureImageType *f)
virtual FeatureImageTypeGetFeatureImage ()

void SetUseNegativeFeaturesOn ()
void SetUseNegativeFeaturesOff ()

void SetUseNegativeFeatures (bool u)
bool GetUseNegativeFeatures () const

virtual void SetReverseExpansionDirection (bool _arg)
virtual bool GetReverseExpansionDirection () const
virtual void ReverseExpansionDirectionOn ()
virtual void ReverseExpansionDirectionOff ()

virtual void SetAutoGenerateSpeedAdvection (bool _arg)
virtual bool GetAutoGenerateSpeedAdvection () const
virtual void AutoGenerateSpeedAdvectionOn ()
virtual void AutoGenerateSpeedAdvectionOff ()

void SetFeatureScaling (ValueType v)

void SetPropagationScaling (ValueType v)
ValueType GetPropagationScaling () const

void SetAdvectionScaling (ValueType v)
ValueType GetAdvectionScaling () const

void SetCurvatureScaling (ValueType v)
ValueType GetCurvatureScaling () const

void SetUseMinimalCurvature (bool b)
bool GetUseMinimalCurvature () const
void UseMinimalCurvatureOn ()
void UseMinimalCurvatureOff ()

void SetMaximumCurvatureTimeStep (double n)
double GetMaximumCurvatureTimeStep () const

void SetMaximumPropagationTimeStep (double n)
double GetMaximumPropagationTimeStep () const

virtual void SetNumberOfLayers (unsigned int _arg)
virtual unsigned int GetNumberOfLayers () const

virtual void SetIsoSurfaceValue (ValueType _arg)
virtual ValueType GetIsoSurfaceValue () const

virtual void SetInterpolateSurfaceLocation (bool _arg)
virtual bool GetInterpolateSurfaceLocation () const

void InterpolateSurfaceLocationOn ()
void InterpolateSurfaceLocationOff ()

virtual void SetNumberOfIterations (unsigned int _arg)
virtual const unsigned int & GetNumberOfIterations ()

virtual void SetUseImageSpacing (bool _arg)
virtual void UseImageSpacingOn ()
virtual void UseImageSpacingOff ()
virtual const bool & GetUseImageSpacing ()

virtual void SetMaximumRMSError (double _arg)
virtual const double & GetMaximumRMSError ()

virtual void SetRMSChange (double _arg)
virtual const double & GetRMSChange ()

virtual void SetState (FilterStateType _arg)
virtual const FilterStateTypeGetState ()

virtual void SetManualReinitialization (bool _arg)
virtual const bool & GetManualReinitialization ()
virtual void ManualReinitializationOn ()
virtual void ManualReinitializationOff ()

virtual void SetInPlace (bool _arg)
virtual bool GetInPlace () const
virtual void InPlaceOn ()
virtual void InPlaceOff ()

virtual void SetInput (const InputImageType *image)
virtual void SetInput (unsigned int, const TInputImage *image)
const InputImageTypeGetInput (void)
const InputImageTypeGetInput (unsigned int idx)

virtual void PushBackInput (const InputImageType *image)
virtual void PopBackInput ()
virtual void PushFrontInput (const InputImageType *image)
virtual void PopFrontInput ()

OutputImageTypeGetOutput (void)
OutputImageTypeGetOutput (unsigned int idx)

DataObjectPointerArrayGetOutputs ()
DataObjectPointerArraySizeType GetNumberOfOutputs () 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 (int _arg)
virtual const int & GetNumberOfThreads ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Static Public Attributes

static const unsigned int ImageDimension
static const unsigned int InputImageDimension = TInputImage::ImageDimension

static const unsigned int OutputImageDimension

Protected Types

typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension)> 
InputToOutputRegionCopierType
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension)> 
OutputToInputRegionCopierType

typedef int InternalReferenceCountType

Protected Member Functions

virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
void AllocateUpdateBuffer ()
void ApplyUpdate (TimeStepType dt)
virtual void ApplyUpdate (TimeStepType dt)=0
virtual void BeforeThreadedGenerateData ()
virtual void CacheInputReleaseDataFlags ()
TimeStepType CalculateChange ()
virtual ValueType CalculateUpdateValue (const IndexType &, const TimeStepType &dt, const ValueType &value, const ValueType &change)
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
void ConstructActiveLayer ()
void ConstructLayer (StatusType from, StatusType to)
void CopyInputToOutput ()
void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
virtual ValueType GetValueOne () const
virtual ValueType GetValueZero () const
virtual bool Halt ()
void Initialize ()
void InitializeActiveLayerValues ()
virtual void InitializeBackgroundPixels ()
void operator= (const Self &)
virtual void PostProcessOutput ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
void ProcessOutsideList (LayerType *OutsideList, StatusType ChangeToStatus)
void ProcessStatusList (LayerType *InputList, LayerType *OutputList, StatusType ChangeToStatus, StatusType SearchForStatus)
void PropagateAllLayerValues ()
void PropagateLayerValues (StatusType from, StatusType to, StatusType promote, int InOrOut)
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
virtual TimeStepType ResolveTimeStep (const TimeStepType *timeStepList, const bool *valid, int size)
virtual void RestoreInputReleaseDataFlags ()
virtual void SetElapsedIterations (unsigned int _arg)
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
 ShapeDetectionLevelSetImageFilter (const Self &)
 ShapeDetectionLevelSetImageFilter ()
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN
virtual bool ThreadedHalt (void *)
void UpdateActiveLayerValues (TimeStepType dt, LayerType *StatusUpList, LayerType *StatusDownList)
 ~ShapeDetectionLevelSetImageFilter ()

virtual void InitializeIteration ()

const DataObjectGetInput (unsigned int idx) const

void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)

const DataObjectGetOutput (unsigned int idx) const

virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void AddInput (DataObject *input)
virtual void RemoveInput (DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredInputs ()

virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void AddOutput (DataObject *output)
virtual void RemoveOutput (DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredOutputs ()

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

bool m_AutoGenerateSpeedAdvection
double m_ConstantGradientValue
unsigned int m_ElapsedIterations
bool m_InterpolateSurfaceLocation
ValueType m_IsoSurfaceValue
LayerNodeStorageType::Pointer m_LayerNodeStore
LayerListType m_Layers
bool m_ManualReinitialization
double m_MaximumRMSError
SparseFieldCityBlockNeighborList
< NeighborhoodIterator
< OutputImageType > > 
m_NeighborList
unsigned int m_NumberOfIterations
unsigned int m_NumberOfLayers
TimeStamp m_OutputInformationMTime
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_ReverseExpansionDirection
double m_RMSChange
OutputImageType::Pointer m_ShiftedImage
StatusImageType::Pointer m_StatusImage
UpdateBufferType m_UpdateBuffer
bool m_Updating

Static Protected Attributes

static StatusType m_StatusActiveChangingDown
static StatusType m_StatusActiveChangingUp
static StatusType m_StatusBoundaryPixel
static StatusType m_StatusChanging
static StatusType m_StatusNull
static ValueType m_ValueOne
static ValueType m_ValueZero

Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
class itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >

Segments structures in images based on a user supplied edge potential map.

IMPORTANT
The SegmentationLevelSetImageFilter class and the ShapeDetectionLevelSetFunction class contain additional information necessary to gain full understanding of how to use this filter.
OVERVIEW
This class is a level set method segmentation filter. An initial contour is propagated outwards (or inwards) until it ''sticks'' to the shape boundaries. This is done by using a level set speed function based on a user supplied edge potential map. This approach for segmentation follows that of Malladi et al (1995).
INPUTS
This filter requires two inputs. The first input is a initial level set. The initial level set is a real image which contains the initial contour/surface as the zero level set. For example, a signed distance function from the initial contour/surface is typically used. Note that for this algorithm the initial contour has to be wholly within (or wholly outside) the structure to be segmented.
The second input is the feature image. For this filter, this is the edge potential map. General characteristics of an edge potential map is that it has values close to zero in regions near the edges and values close to one inside the shape itself. Typically, the edge potential map is compute from the image gradient, for example:

\[ g(I) = 1 / ( 1 + | (\nabla * G)(I)| ) \]

\[ g(I) = \exp^{-|(\nabla * G)(I)|} \]

where $ I $ is image intensity and $ (\nabla * G) $ is the derivative of Gaussian operator.

See SegmentationLevelSetImageFilter and SparseFieldLevelSetImageFilter for more information on Inputs.
PARAMETERS
The PropagationScaling parameter can be used to switch from propagation outwards (POSITIVE scaling parameter) versus propagating inwards (NEGATIVE scaling parameter).

The smoothness of the resulting contour/surface can be adjusted using a combination of PropagationScaling and CurvatureScaling parameters. The larger the CurvatureScaling parameter, the smoother the resulting contour. The CurvatureScaling parameter should be non-negative for proper operation of this algorithm. To follow the implementation in Malladi et al paper, set the PropagtionScaling to $\pm 1.0$ and CurvatureScaling to $ \epsilon $.

Note that there is no advection term for this filter. Setting the advection scaling will have no effect.

OUTPUTS
The filter outputs a single, scalar, real-valued image. Negative values in the output image represent the inside of the segmentated region and positive values in the image represent the outside of the segmented region. The zero crossings of the image correspond to the position of the propagating front.
See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.
REFERENCES
"Shape Modeling with Front Propagation: A Level Set Approach", R. Malladi, J. A. Sethian and B. C. Vermuri. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol 17, No. 2, pp 158-174, February 1995
See also:
SegmentationLevelSetImageFilter
ShapeDetectionLevelSetFunction
SparseFieldLevelSetImageFilter

Definition at line 106 of file itkShapeDetectionLevelSetImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SmartPointer<const Self> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer
typedef DataObject::Pointer itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::DataObjectPointer [inherited]

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 62 of file itkImageSource.h.

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType [inherited]

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::FeatureImageType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType
typedef FiniteDifferenceFunction<Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > > itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::FiniteDifferenceFunctionType [inherited]

The value type of the time step. This is distinct from PixelType because PixelType may often be a vector value, while the TimeStep is a scalar value.

Reimplemented in itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 155 of file itkFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::IndexType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::IndexType [inherited]
typedef InputImageType::ConstPointer itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputImageConstPointer [inherited]
typedef InputImageType::PixelType itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputImagePixelType [inherited]
typedef InputImageType::Pointer itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputImagePointer [inherited]
typedef InputImageType::RegionType itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputImageRegionType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::InputImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InputImageType [inherited]
typedef TInputImage::PixelType itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputPixelType [inherited]

Definition at line 145 of file itkFiniteDifferenceImageFilter.h.

typedef NumericTraits< InputPixelType >::ValueType itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputPixelValueType [inherited]

Definition at line 150 of file itkFiniteDifferenceImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InputToOutputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 164 of file itkImageToImageFilter.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

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

Definition at line 139 of file itkLightObject.h.

typedef std::vector<LayerPointerType> itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::LayerListType [inherited]

A type for a list of LayerPointerTypes

Definition at line 268 of file itkSparseFieldLevelSetImageFilter.h.

typedef ObjectStore<LayerNodeType> itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::LayerNodeStorageType [inherited]

Memory pre-allocator used to manage layer nodes in a multi-threaded environment.

Definition at line 280 of file itkSparseFieldLevelSetImageFilter.h.

typedef SparseFieldLevelSetNode<IndexType> itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::LayerNodeType [inherited]

Node type used in sparse field layer lists.

Definition at line 261 of file itkSparseFieldLevelSetImageFilter.h.

typedef LayerType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::LayerPointerType [inherited]

Definition at line 265 of file itkSparseFieldLevelSetImageFilter.h.

typedef SparseFieldLayer<LayerNodeType> itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::LayerType [inherited]

A list type used in the algorithm.

Definition at line 264 of file itkSparseFieldLevelSetImageFilter.h.

typedef Superclass::OutputImagePixelType itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputImagePixelType [inherited]
typedef Superclass::OutputImagePointer itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputImagePointer [inherited]
typedef Superclass::OutputImageRegionType itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputImageRegionType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::OutputImageType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType
typedef Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > ::PixelType itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputPixelType [inherited]
typedef NumericTraits< OutputPixelType >::ValueType itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputPixelValueType [inherited]

Extract value type in case the pixel is of vector type

Definition at line 149 of file itkFiniteDifferenceImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputToInputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 169 of file itkImageToImageFilter.h.

typedef OutputPixelType itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PixelType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SmartPointer<Self> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer
typedef Superclass::RadiusType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::RadiusType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationFunctionType [inherited]

The generic level set function type

Definition at line 176 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ShapeDetectionLevelSetImageFilter itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ShapeDetectionFunctionType::Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionPointer

Definition at line 127 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ShapeDetectionLevelSetFunction<OutputImageType, FeatureImageType> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionType

Type of the segmentation function

Definition at line 126 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SegmentationFunctionType::ImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SpeedImageType [inherited]
typedef Image<StatusType, itkGetStaticConstMacro(ImageDimension)> itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::StatusImageType [inherited]

The type of the image used to index status information. Necessary for the internals of the algorithm.

Definition at line 276 of file itkSparseFieldLevelSetImageFilter.h.

typedef signed char itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::StatusType [inherited]

Type used for storing status information

Definition at line 271 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::TimeStepType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::TimeStepType [inherited]
typedef std::vector<ValueType> itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::UpdateBufferType [inherited]

Container type used to store updates to the active layer.

Definition at line 283 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::ValueType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType

Inherited typedef from the superclass.

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 120 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SegmentationFunctionType::VectorImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::VectorImageType [inherited]

The type used for the advection field

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 179 of file itkSegmentationLevelSetImageFilter.h.


Member Enumeration Documentation

Definition at line 161 of file itkFiniteDifferenceImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~ShapeDetectionLevelSetImageFilter (  )  [inline, protected]

Definition at line 136 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionLevelSetImageFilter (  )  [protected]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionLevelSetImageFilter ( const Self  )  [protected]

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff (  )  [virtual, inherited]
virtual void itk::ProcessObject::AbortGenerateDataOn (  )  [virtual, inherited]

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput ( DataObject input  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

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

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

virtual void itk::ProcessObject::AddOutput ( DataObject output  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::AfterThreadedGenerateData ( void   )  [inline, protected, virtual, inherited]

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). 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.

Definition at line 265 of file itkImageSource.h.

virtual void itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::AllocateOutputs (  )  [protected, virtual, inherited]

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Since InPlaceImageFilter's can use an overwritten version of the input for its output, the output buffer should not be allocated. When possible, we graft the input to the filter to the output. If an InPlaceFilter has multiple outputs, then it would need to override this method to graft one of its outputs and allocate the remaining. If a filter is threaded (i.e. it provides an implementation of ThreadedGenerateData()), this method is called automatically. If an InPlaceFilter is not threaded (i.e. it provides an implementation of GenerateData()), then this method (or equivalent) must be called in GenerateData().

Reimplemented from itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::AllocateUpdateBuffer (  )  [protected, virtual, inherited]
void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ApplyUpdate ( TimeStepType  dt  )  [protected, inherited]

Applies the update buffer values to the active layer and reconstructs the sparse field layers for the next iteration.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ApplyUpdate ( TimeStepType  dt  )  [protected, pure virtual, inherited]

This method is defined by a subclass to apply changes to the output from an update buffer and a time step value "dt".

Parameters:
dt Time step value.
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOff (  )  [virtual, inherited]

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOn (  )  [virtual, inherited]

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

virtual void itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::BeforeThreadedGenerateData ( void   )  [inline, protected, virtual, inherited]

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.

Definition at line 253 of file itkImageSource.h.

static void itk::LightObject::BreakOnError (  )  [static, inherited]

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

virtual void itk::ProcessObject::CacheInputReleaseDataFlags (  )  [protected, virtual, inherited]

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

TimeStepType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::CalculateChange (  )  [protected, virtual, inherited]

Traverses the active layer list and calculates the change at these indicies to be applied in the current iteration.

Implements itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::CalculateUpdateValue ( const IndexType ,
const TimeStepType dt,
const ValueType value,
const ValueType change 
) [inline, protected, virtual, inherited]

This function allows a subclass to override the way in which updates to output values are applied during each iteration. The default simply follows the standard finite difference scheme of scaling the change by the timestep and adding to the value of the previous iteration.

Definition at line 339 of file itkSparseFieldLevelSetImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::CallCopyInputRegionToOutputRegion ( OutputImageRegionType destRegion,
const InputImageRegionType srcRegion 
) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::CallCopyOutputRegionToInputRegion ( InputImageRegionType destRegion,
const OutputImageRegionType srcRegion 
) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

virtual bool itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::CanRunInPlace (  )  const [inline, virtual, inherited]

Can the filter run in place? To do so, the filter's first input and output must have the same dimension and pixel type. This method can be used in conjunction with the InPlace ivar to determine whether a particular use of the filter is really running in place. Some filters may be able to optimize their operation if the InPlace is true and CanRunInPlace is true. CanRunInPlace may also be overridded by InPlaceImageFilter subclasses to fine tune its behavior.

Definition at line 113 of file itkInPlaceImageFilter.h.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ConstructActiveLayer (  )  [protected, inherited]

Constructs the active layer and initialize the first layers inside and outside of the active layer. The active layer defines the position of the zero level set by its values, which are constrained within a range around zero.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ConstructLayer ( StatusType  from,
StatusType  to 
) [protected, inherited]

Initializes a layer of the sparse field using a previously initialized layer. Builds the list of nodes in m_Layer[to] using m_Layer[from]. Marks values in the m_StatusImage.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::CopyInputToOutput (  )  [protected, virtual, inherited]

Copies the input to the output image. Processing occurs on the output image, so the data type of the output image determines the precision of the calculations (i.e. double or float). This method overrides the parent class method to do some additional processing.

Implements itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

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.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject  )  [inline, virtual, inherited]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

Definition at line 225 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateAdvectionImage (  )  [inherited]

Allocate and calculate the advection term image in the SegmentationFunction object This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateData (  )  [protected, virtual]

Overridden from Superclass to handle the case when PropagationScaling is zero and CurvatureScaling is non-zero.

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GenerateInputRequestedRegion ( void   )  [protected, virtual, inherited]

FiniteDifferenceImageFilter needs a larger input requested region than the output requested region. As such, we need to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

The filter will ask for a padded region to perform its neighborhood calculations. If no such region is available, the boundaries will be handled as described in the FiniteDifferenceFunction defined by the subclass.
See also:
ProcessObject::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

virtual void itk::ProcessObject::GenerateOutputInformation (  )  [protected, virtual, inherited]

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::ImageToVectorImageFilter< TInputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::GaborImageSource< TOutputImage >, itk::GridImageSource< TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::PadLabelMapFilter< TInputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, and itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >.

virtual void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject output  )  [protected, virtual, inherited]

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, and itk::watershed::SegmentTreeGenerator< ScalarType >.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateSpeedImage (  )  [inherited]

Allocate and calculate the speed term image in the SegmentationFunction object. This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

virtual const bool& itk::ProcessObject::GetAbortGenerateData (  )  [virtual, inherited]

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual const VectorImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionImage (  )  const [inline, virtual, inherited]

Return a pointer to the image sampled as the advection term of the segmentation algorithm.

Definition at line 242 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionScaling (  )  const [inline, inherited]

Set/Get the scaling of the advection field. Setting the FeatureScaling parameter will override any existing value for AdvectionScaling.

Definition at line 354 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAutoGenerateSpeedAdvection (  )  const [virtual, inherited]

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

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.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCurvatureScaling (  )  const [inline, inherited]

Set/Get the scaling of the curvature. Use this parameter to increase the influence of curvature on the movement of the surface. Higher values relative to Advection and Propagation values will give smoother surfaces.

Definition at line 372 of file itkSegmentationLevelSetImageFilter.h.

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

Get the value of the debug flag.

virtual const FiniteDifferenceFunctionType ::Pointer& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetDifferenceFunction (  )  const [virtual, inherited]

This method returns a pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Returns:
A FiniteDifferenceObject pointer.
virtual const unsigned int& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetElapsedIterations (  )  [virtual, inherited]

Get the number of elapsed iterations of the filter.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual FeatureImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage (  )  [inline, virtual, inherited]

Set/Get the feature image to be used for speed function of the level set equation. Equivalent to calling Set/GetInput(1, ..)

Definition at line 206 of file itkSegmentationLevelSetImageFilter.h.

References itk::ProcessObject::GetInput().

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

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

virtual bool itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetInPlace (  )  const [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

const InputImageType* itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetInput ( void   )  [inherited]

Set/Get the image input of this process object.

const InputImageType* itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetInput ( unsigned int  idx  )  [inherited]

Set/Get the image input of this process object.

Reimplemented from itk::ProcessObject.

const DataObject* itk::ProcessObject::GetInput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an input.

Reimplemented in itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

DataObjectPointerArray& itk::ProcessObject::GetInputs (  )  [inline, inherited]

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

virtual bool itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetInterpolateSurfaceLocation (  )  const [virtual, inherited]

Get the RMS change calculated in the PREVIOUS iteration. This value is the square root of the average square of the change value of all pixels updated during the previous iteration. Get/Set the value of the InterpolateSurfaceLocation flag. This flag tells the solver whether or not to interpolate for the surface location when calculating change at a voxel location. Turned on by default. Some applications may not use this value and can safely turn the flag off.

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetIsoSurfaceValue (  )  const [virtual, inherited]

Set/Get the value of the isosurface to use in the input image.

virtual const bool& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetManualReinitialization (  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumCurvatureTimeStep (  )  const [inline, inherited]

Set/Get the maximum constraint for the curvature term factor in the time step calculation. Changing this value from the default is not recommended or necessary but could be used to speed up the surface evolution at the risk of creating an unstable solution.

Definition at line 435 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumIterations (  )  [inline, inherited]

Set/Get the maximum number of iterations allowed for the solver. This prevents infinite loops if a solution "bounces".

Definition at line 192 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumPropagationTimeStep (  )  const [inline, inherited]

Set/Get the maximum constraint for the scalar/vector term factor of the time step calculation. Changing this value from the default is not recommended or necessary but could be used to speed up the surface evolution at the risk of creating an unstable solution.

Definition at line 453 of file itkSegmentationLevelSetImageFilter.h.

virtual const double& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetMaximumRMSError (  )  [virtual, inherited]

Set/Get the maximum error allowed in the solution. This may not be defined for all solvers and its meaning may change with the application.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

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

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

MultiThreader* itk::ProcessObject::GetMultiThreader (  )  [inline, inherited]

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual const char* itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs (  )  const [inline, inherited]

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

virtual const unsigned int& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetNumberOfIterations (  )  [virtual, inherited]

Set/Get the number of iterations that the filter will run.

virtual unsigned int itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetNumberOfLayers (  )  const [virtual, inherited]

Set/Get the number of layers to use in the sparse field. Argument is the number of layers on ONE side of the active layer, so the total layers in the sparse field is 2 * NumberOfLayers +1

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs (  )  const [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 135 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs (  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs (  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual const int& itk::ProcessObject::GetNumberOfThreads (  )  [virtual, inherited]

Get/Set the number of threads to create when executing.

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

virtual DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs (  )  const [virtual, inherited]

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

OutputImageType* itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetOutput ( void   )  [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();
   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

OutputImageType* itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetOutput ( unsigned int  idx  )  [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();
   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented from itk::ProcessObject.

const DataObject* itk::ProcessObject::GetOutput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an output.

DataObjectPointerArray& itk::ProcessObject::GetOutputs (  )  [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress (  )  [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::XMLFilterWatcher::ShowProgress().

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetPropagationScaling (  )  const [inline, inherited]

Set/Get the scaling of the propagation speed. Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling.

Definition at line 338 of file itkSegmentationLevelSetImageFilter.h.

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual bool itk::ProcessObject::GetReleaseDataFlag (  )  const [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetReverseExpansionDirection (  )  const [virtual, inherited]

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

virtual const double& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetRMSChange (  )  [virtual, inherited]

Set/Get the root mean squared change of the previous iteration. May not be used by all solvers.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSegmentationFunction (  )  [inline, virtual, inherited]

Definition at line 419 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual const SpeedImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSpeedImage (  )  const [inline, virtual, inherited]

Return a pointer to the image sampled as the speed term of the segmentation algorithm.

Definition at line 237 of file itkSegmentationLevelSetImageFilter.h.

virtual const FilterStateType& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetState (  )  [virtual, inherited]

Set/Get the state of the filter.

virtual const bool& itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetUseImageSpacing (  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseMinimalCurvature (  )  const [inline, inherited]

Definition at line 387 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseNegativeFeatures (  )  const [inline, inherited]

THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED. Set/Get the value of the UseNegativeFeatures flag. This method is deprecated. Use Set/Get ReverseExpansionDirection instead.

Definition at line 274 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetValueOne (  )  const [protected, virtual, inherited]
virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetValueZero (  )  const [protected, virtual, inherited]
static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

virtual void itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GraftNthOutput ( unsigned int  idx,
DataObject output 
) [virtual, inherited]

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

virtual void itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GraftOutput ( DataObject output  )  [virtual, inherited]

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

    // setup the mini-pipeline to process the input to this filter
    firstFilterInMiniPipeline->SetInput( this->GetInput() );

    // setup the mini-pipeline to calculate the correct regions
    // and write to the appropriate bulk data block
    lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );

    // execute the mini-pipeline
    lastFilterInMiniPipeline->Update();

    // graft the mini-pipeline output back onto this filter's output.
    // this is needed to get the appropriate regions passed back.
    this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

virtual bool itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::Halt (  )  [protected, virtual, inherited]

This method returns true when the current iterative solution of the equation has met the criteria to stop solving. Defined by a subclass.

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

Return true if an observer is registered for this event.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::Initialize ( void   )  [protected, virtual, inherited]

Constructs the sparse field layers and initializes their values.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InitializeActiveLayerValues (  )  [protected, inherited]

Initializes the values of the active layer set.

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InitializeBackgroundPixels (  )  [protected, virtual, inherited]

This method pre-processes pixels inside and outside the sparse field layers. The default is to set them to positive and negative values, respectively. This is not necessary as part of the calculations, but produces a more intuitive output for the user.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InitializeIteration (  )  [inline, protected, virtual, inherited]
virtual void itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InPlaceOff (  )  [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

virtual void itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InPlaceOn (  )  [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InterpolateSurfaceLocationOff (  )  [inline, inherited]

See Get/SetInterpolateSurfaceLocation

Definition at line 314 of file itkSparseFieldLevelSetImageFilter.h.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InterpolateSurfaceLocationOn (  )  [inline, inherited]

See Get/SetInterpolateSurfaceLocation

Definition at line 312 of file itkSparseFieldLevelSetImageFilter.h.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

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

virtual DataObjectPointer itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::MakeOutput ( unsigned int  idx  )  [virtual, inherited]

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ManualReinitializationOff (  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ManualReinitializationOn (  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

virtual void itk::Object::Modified (  )  const [virtual, inherited]

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

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::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 > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), 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(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
static Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New (  )  [static]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::operator= ( const Self  )  [protected]
virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PopBackInput (  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PopFrontInput (  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PostProcessOutput (  )  [protected, virtual, inherited]

This method packages the output(s) into a consistent format. The default implementation produces a volume with the final solution values in the sparse field, and inside and outside values elsewhere as appropriate.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

virtual void itk::ProcessObject::PrepareOutputs (  )  [virtual, inherited]

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

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

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ProcessOutsideList ( LayerType OutsideList,
StatusType  ChangeToStatus 
) [protected, inherited]
void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ProcessStatusList ( LayerType InputList,
LayerType OutputList,
StatusType  ChangeToStatus,
StatusType  SearchForStatus 
) [protected, inherited]
void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PropagateAllLayerValues (  )  [protected, inherited]

Adjusts the values associated with all the index layers of the sparse field by propagating out one layer at a time from the active set. This method also takes care of deleting nodes from the layers which have been marked in the status image as having been moved to other layers.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PropagateLayerValues ( StatusType  from,
StatusType  to,
StatusType  promote,
int  InOrOut 
) [protected, inherited]

Adjusts the values in a single layer "to" using values in a neighboring layer "from". The list of indicies in "to" are traversed and assigned new values appropriately. Any indicies in "to" without neighbors in "from" are moved into the "promote" layer (or deleted if "promote" is greater than the number of layers). "InOrOut" == 1 indicates this propagation is inwards (more negative). "InOrOut" == 2 indicates this propagation is outwards (more positive).

virtual void itk::ProcessObject::PropagateRequestedRegion ( DataObject output  )  [virtual, inherited]

Send the requested region information back up the pipeline (to the filters that preceed this one).

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >, and itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline (  )  [protected, virtual, inherited]

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PushBackInput ( const DataObject input  )  [inline, protected, virtual, inherited]

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::ProcessObject.

Definition at line 251 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PushBackInput ( const InputImageType image  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PushFrontInput ( const DataObject input  )  [inline, protected, virtual, inherited]

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::ProcessObject.

Definition at line 253 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::PushFrontInput ( const InputImageType image  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

virtual void itk::Object::Register (  )  const [virtual, inherited]

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

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::ReleaseDataFlagOff (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 257 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 256 of file itkProcessObject.h.

virtual void itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ReleaseInputs (  )  [protected, virtual, inherited]

InPlaceImageFilter may transfer ownership of the input bulk data to the output object. Once the output object owns the bulk data (done in AllocateOutputs()), the input object must release its hold on the bulk data. ProcessObject::ReleaseInputs() only releases the input bulk data when the user has set the ReleaseDataFlag. InPlaceImageFilter::ReleaseInputs() also releases the input that it has overwritten.

See also:
ProcessObject::ReleaseInputs()

Reimplemented from itk::ProcessObject.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

virtual void itk::ProcessObject::RemoveInput ( DataObject input  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

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

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput ( DataObject output  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::ResetPipeline (  )  [virtual, inherited]

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

virtual TimeStepType itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ResolveTimeStep ( const TimeStepType timeStepList,
const bool *  valid,
int  size 
) [protected, virtual, inherited]

Virtual method for resolving a single time step from a set of time steps returned from processing threads.

Returns:
Time step (dt) for the iteration update based on a list of time steps generated from the threaded calculated change method (one for each region processed).
Parameters:
timeStepList The set of time changes compiled from all the threaded calls to ThreadedGenerateData.
valid The set of flags indicating which of "list" elements are valid
size The size of "list" and "valid"

The default is to return the minimum value in the list.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags (  )  [protected, virtual, inherited]

Restore the cached input ReleaseDataFlags.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOff (  )  [virtual, inherited]

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOn (  )  [virtual, inherited]

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool  _arg  )  [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionImage ( VectorImageType v  )  [inline, inherited]

This function is for advanced applications. Set the image sampled as the advection term of this segmentation method. In general, the advection image is generated automatically by a subclass of this filter.

Definition at line 232 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling ( ValueType  v  )  [inline, inherited]

Set/Get the scaling of the advection field. Setting the FeatureScaling parameter will override any existing value for AdvectionScaling.

Definition at line 346 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAutoGenerateSpeedAdvection ( bool  _arg  )  [virtual, inherited]

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling ( ValueType  v  )  [inline, inherited]

Set/Get the scaling of the curvature. Use this parameter to increase the influence of curvature on the movement of the surface. Higher values relative to Advection and Propagation values will give smoother surfaces.

Definition at line 364 of file itkSegmentationLevelSetImageFilter.h.

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

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

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetDifferenceFunction ( FiniteDifferenceFunctionType _arg  )  [virtual, inherited]

This method sets the pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Returns:
A FiniteDifferenceObject pointer.
virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetElapsedIterations ( unsigned int  _arg  )  [protected, virtual, inherited]

Set the number of elapsed iterations of the filter.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage ( const FeatureImageType f  )  [inline, virtual, inherited]

Set/Get the feature image to be used for speed function of the level set equation. Equivalent to calling Set/GetInput(1, ..)

Definition at line 201 of file itkSegmentationLevelSetImageFilter.h.

References itk::ProcessObject::SetNthInput().

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureScaling ( ValueType  v  )  [inline, inherited]

Combined scaling of the propagation and advection speed terms. You should use either this -or- Get/SetPropagationScaling and Get/SetAdvectionScaling (if appropriate). See subclasses for details on when and whether to set these parameters.

Definition at line 315 of file itkSegmentationLevelSetImageFilter.h.

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

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

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

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInitialImage ( InputImageType f  )  [inline, virtual, inherited]

Set/Get the initial level set model. Equivalent to calling SetInput(..)

Definition at line 212 of file itkSegmentationLevelSetImageFilter.h.

virtual void itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetInPlace ( bool  _arg  )  [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetInput ( unsigned  int,
const TInputImage *  image 
) [virtual, inherited]

Set/Get the image input of this process object.

virtual void itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetInput ( const InputImageType image  )  [virtual, inherited]

Set/Get the image input of this process object.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInput2 ( const FeatureImageType input  )  [inline, inherited]

Set the feature image

Definition at line 218 of file itkSegmentationLevelSetImageFilter.h.

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetInterpolateSurfaceLocation ( bool  _arg  )  [virtual, inherited]

Get the RMS change calculated in the PREVIOUS iteration. This value is the square root of the average square of the change value of all pixels updated during the previous iteration. Get/Set the value of the InterpolateSurfaceLocation flag. This flag tells the solver whether or not to interpolate for the surface location when calculating change at a voxel location. Turned on by default. Some applications may not use this value and can safely turn the flag off.

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetIsoSurfaceValue ( ValueType  _arg  )  [virtual, inherited]

Set/Get the value of the isosurface to use in the input image.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetManualReinitialization ( bool  _arg  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep ( double  n  )  [inline, inherited]

Set/Get the maximum constraint for the curvature term factor in the time step calculation. Changing this value from the default is not recommended or necessary but could be used to speed up the surface evolution at the risk of creating an unstable solution.

Definition at line 427 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumIterations ( unsigned int  i  )  [inline, inherited]

Set/Get the maximum number of iterations allowed for the solver. This prevents infinite loops if a solution "bounces".

Definition at line 187 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep ( double  n  )  [inline, inherited]

Set/Get the maximum constraint for the scalar/vector term factor of the time step calculation. Changing this value from the default is not recommended or necessary but could be used to speed up the surface evolution at the risk of creating an unstable solution.

Definition at line 445 of file itkSegmentationLevelSetImageFilter.h.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetMaximumRMSError ( double  _arg  )  [virtual, inherited]

Set/Get the maximum error allowed in the solution. This may not be defined for all solvers and its meaning may change with the application.

Reimplemented in itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
virtual void itk::ProcessObject::SetNthInput ( unsigned int  num,
DataObject input 
) [protected, virtual, inherited]
virtual void itk::ProcessObject::SetNthOutput ( unsigned int  num,
DataObject output 
) [protected, virtual, inherited]
void itk::ProcessObject::SetNumberOfInputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the input array. Copies old inputs.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNumberOfIterations ( unsigned int  _arg  )  [virtual, inherited]

Set/Get the number of iterations that the filter will run.

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNumberOfLayers ( unsigned int  _arg  )  [virtual, inherited]

Set/Get the number of layers to use in the sparse field. Argument is the number of layers on ONE side of the active layer, so the total layers in the sparse field is 2 * NumberOfLayers +1

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::SetNumberOfThreads ( int  _arg  )  [virtual, inherited]
virtual void itk::ProcessObject::SetProgress ( float  _arg  )  [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling ( ValueType  v  )  [inline, inherited]

Set/Get the scaling of the propagation speed. Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling.

Definition at line 330 of file itkSegmentationLevelSetImageFilter.h.

virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool  _arg  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual void itk::ProcessObject::SetReleaseDataFlag ( bool  flag  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetReverseExpansionDirection ( bool  _arg  )  [virtual, inherited]

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetRMSChange ( double  _arg  )  [virtual, inherited]

Set/Get the root mean squared change of the previous iteration. May not be used by all solvers.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction ( SegmentationFunctionType s  )  [inline, virtual, inherited]

Set the segmentation function. In general, this should only be called by a subclass of this object. It is made public to allow itk::Command objects access. The method is inline to avoid a problem with the gcc 2.95 compiler matching the declaration with the definition.

Definition at line 407 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >::Initialize().

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSpeedImage ( SpeedImageType s  )  [inline, inherited]

This function is for advanced applications. Set the image sampled as the speed term of this segmentation method. In general, the speed image is generated automatically by a subclass of this filter.

Definition at line 226 of file itkSegmentationLevelSetImageFilter.h.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetState ( FilterStateType  _arg  )  [virtual, inherited]

Set/Get the state of the filter.

void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetStateToInitialized (  )  [inline, inherited]

Set the state of the filter to INITIALIZED

Definition at line 203 of file itkFiniteDifferenceImageFilter.h.

void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetStateToUninitialized (  )  [inline, inherited]

Set the state of the filter to UNINITIALIZED

Definition at line 209 of file itkFiniteDifferenceImageFilter.h.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetUseImageSpacing ( bool  _arg  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature ( bool  b  )  [inline, inherited]

Definition at line 379 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeatures ( bool  u  )  [inline, inherited]

THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED. Set/Get the value of the UseNegativeFeatures flag. This method is deprecated. Use Set/Get ReverseExpansionDirection instead.

Definition at line 262 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOff (  )  [inline, inherited]

THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED. This method reverses the speed function direction, effectively changing inside feature values to outside feature values and vice versa.

Definition at line 253 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOn (  )  [inline, inherited]

THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED. This method reverses the speed function direction, effectively changing inside feature values to outside feature values and vice versa.

Definition at line 248 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

virtual int itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SplitRequestedRegion ( int  i,
int  num,
OutputImageRegionType splitRegion 
) [protected, virtual, inherited]

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

virtual void itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected, virtual, inherited]

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()
virtual bool itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ThreadedHalt ( void *   )  [inline, protected, virtual, inherited]

This method is similar to Halt(), and its default implementation in this class is simply to call Halt(). However, this method takes as a parameter a void pointer to the MultiThreader::ThreadInfoStruct structure. If you override this method instead of overriding Halt, you will be able to get the current thread ID and handle the Halt method accordingly. This is useful if you are doing a lot of processing in Halt that you don't want parallelized. Notice that ThreadedHalt is only called by the multithreaded filters, so you still should implement Halt, just in case a non-threaded filter is used.

Definition at line 292 of file itkFiniteDifferenceImageFilter.h.

static ITK_THREAD_RETURN_TYPE itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ThreaderCallback ( void *  arg  )  [static, protected, inherited]

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::Update (  )  [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.

void itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::UpdateActiveLayerValues ( TimeStepType  dt,
LayerType StatusUpList,
LayerType StatusDownList 
) [protected, inherited]

Updates the active layer values using m_UpdateBuffer. Also creates an "up" and "down" list for promotion/demotion of indicies leaving the active set.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion (  )  [virtual, inherited]

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData ( DataObject output  )  [virtual, inherited]

Actually generate new output

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateOutputInformation (  )  [virtual, inherited]

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::VTKImageImport< TOutputImage >, and itk::watershed::Segmenter< InputImageType >.

void itk::ProcessObject::UpdateProgress ( float  amount  )  [inherited]

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::UseImageSpacingOff (  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

virtual void itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::UseImageSpacingOn (  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOff (  )  [inline, inherited]

Definition at line 395 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOn (  )  [inline, inherited]

Definition at line 391 of file itkSegmentationLevelSetImageFilter.h.


Member Data Documentation

const unsigned int itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::ImageDimension [static, inherited]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
const unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InputImageDimension = TInputImage::ImageDimension [static, inherited]

Repeat definition from Superclass to satisfy Borland compiler quirks

Reimplemented from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 154 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_AutoGenerateSpeedAdvection [protected, inherited]

Flag to indicate whether Speed and Advection images are automatically generated when running the filter. Otherwise, a pointer to images must be explicitly set or GenerateSpeedImage() and/or GenerateAdvectionImage() called directly before updating the filter

Definition at line 505 of file itkSegmentationLevelSetImageFilter.h.

double itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_ConstantGradientValue [protected, inherited]

The constant gradient to maintain between isosurfaces in the sparse-field of the level-set image. This value defaults to 1.0

Definition at line 429 of file itkSparseFieldLevelSetImageFilter.h.

unsigned int itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_ElapsedIterations [protected, inherited]

A counter for keeping track of the number of elapsed iterations during filtering.

Definition at line 338 of file itkFiniteDifferenceImageFilter.h.

bool itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_InterpolateSurfaceLocation [protected, inherited]

The RMS change calculated from each update. Can be used by a subclass to determine halting criteria. Valid only for the previous iteration, not during the current iteration. Calculated in ApplyUpdate. This flag tells the solver whether or not to interpolate for the actual surface location when calculating change at each active layer node. By default this is turned on. Subclasses which do not sample propagation (speed), advection, or curvature terms should turn this flag off.

Definition at line 496 of file itkSparseFieldLevelSetImageFilter.h.

ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_IsoSurfaceValue [protected, inherited]

The value in the input which represents the isosurface of interest.

Definition at line 481 of file itkSparseFieldLevelSetImageFilter.h.

LayerNodeStorageType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_LayerNodeStore [protected, inherited]

Storage for layer node objects.

Definition at line 478 of file itkSparseFieldLevelSetImageFilter.h.

LayerListType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_Layers [protected, inherited]

An array which contains all of the layers needed in the sparse field. Layers are organized as follows: m_Layer[0] = active layer, m_Layer[i:odd] = inside layer (i+1)/2, m_Layer[i:even] = outside layer i/2

Definition at line 466 of file itkSparseFieldLevelSetImageFilter.h.

bool itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_ManualReinitialization [protected, inherited]

Indicates whether the filter automatically resets to UNINITIALIZED state after completing, or whether filter must be manually reset

Definition at line 342 of file itkFiniteDifferenceImageFilter.h.

double itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_MaximumRMSError [protected, inherited]

Definition at line 345 of file itkFiniteDifferenceImageFilter.h.

Connectivity information for examining neighbor pixels.

Definition at line 421 of file itkSparseFieldLevelSetImageFilter.h.

unsigned int itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_NumberOfIterations [protected, inherited]

The maximum number of iterations this filter will run

Definition at line 334 of file itkFiniteDifferenceImageFilter.h.

unsigned int itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_NumberOfLayers [protected, inherited]

The number of layers to use in the sparse field. Sparse field will consist of m_NumberOfLayers layers on both sides of a single active layer. This active layer is the interface of interest, i.e. the zero level set.

Definition at line 472 of file itkSparseFieldLevelSetImageFilter.h.

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ReverseExpansionDirection [protected, inherited]

Flag which sets the inward/outward direction of propagation speed. See SetReverseExpansionDirection for more information.

Definition at line 499 of file itkSegmentationLevelSetImageFilter.h.

double itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_RMSChange [protected, inherited]

Definition at line 344 of file itkFiniteDifferenceImageFilter.h.

OutputImageType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_ShiftedImage [protected, inherited]

This image is a copy of the input with m_IsoSurfaceValue subtracted from each pixel. This way we only need to consider the zero level set in our calculations. Makes the implementation easier and more efficient.

Definition at line 460 of file itkSparseFieldLevelSetImageFilter.h.

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_StatusActiveChangingDown [static, protected, inherited]

Special status value which indicates a pending change to a more negative sparse field.

Definition at line 447 of file itkSparseFieldLevelSetImageFilter.h.

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_StatusActiveChangingUp [static, protected, inherited]

Special status value which indicates a pending change to a more positive sparse field.

Definition at line 443 of file itkSparseFieldLevelSetImageFilter.h.

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_StatusBoundaryPixel [static, protected, inherited]

Special status value which indicates a pixel is on the boundary of the image

Definition at line 451 of file itkSparseFieldLevelSetImageFilter.h.

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_StatusChanging [static, protected, inherited]

Special status value which indicates pending change to another sparse field layer.

Definition at line 439 of file itkSparseFieldLevelSetImageFilter.h.

StatusImageType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_StatusImage [protected, inherited]

An image of status values used internally by the algorithm.

Definition at line 475 of file itkSparseFieldLevelSetImageFilter.h.

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_StatusNull [static, protected, inherited]

Special status value used as a default for indicies which have no meaningful status.

Definition at line 455 of file itkSparseFieldLevelSetImageFilter.h.

UpdateBufferType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_UpdateBuffer [protected, inherited]

The update buffer used to store change values computed in CalculateChange.

Definition at line 485 of file itkSparseFieldLevelSetImageFilter.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 428 of file itkProcessObject.h.

ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_ValueOne [static, protected, inherited]

Multiplicative identity of the ValueType.

Definition at line 432 of file itkSparseFieldLevelSetImageFilter.h.

ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::m_ValueZero [static, protected, inherited]

Additive identity of the ValueType.

Definition at line 435 of file itkSparseFieldLevelSetImageFilter.h.

const unsigned int itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::OutputImageDimension [static, inherited]

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

Generated at Tue Jul 13 2010 01:38:48 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000