ITK  5.1.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | List of all members
itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage > Class Template Reference

#include <itkImplicitManifoldNormalVectorFilter.h>

+ Inheritance diagram for itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >:
+ Collaboration diagram for itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using FiniteDifferenceFunctionType = typename Superclass::FiniteDifferenceFunctionType
 
using IndexType = typename Superclass::IndexType
 
using InputImageIteratorType = ConstNeighborhoodIterator< InputImageType >
 
using InputImageType = typename Superclass::InputImageType
 
using NodeListType = typename Superclass::NodeListType
 
using NodeValueType = typename Superclass::NodeValueType
 
using NormalBandNodeType = typename Superclass::OutputNodeType
 
using NormalFunctionType = NormalVectorFunctionBase< SparseOutputImageType >
 
using NormalVectorType = typename Superclass::NodeDataType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename FiniteDifferenceFunctionType::RadiusType
 
using Self = ImplicitManifoldNormalVectorFilter
 
using SparseOutputImageType = typename Superclass::SparseOutputImageType
 
using Superclass = FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >
 
- Public Types inherited from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using FiniteDifferenceFunctionType = typename Superclass::FiniteDifferenceFunctionType
 
using IndexType = typename SparseOutputImageType::IndexType
 
using InputImageType = typename Superclass::InputImageType
 
using NodeDataType = typename OutputNodeType::NodeDataType
 
using NodeListType = typename SparseOutputImageType::NodeListType
 
using NodeValueType = typename OutputNodeType::NodeValueType
 
using OutputNodeType = typename SparseOutputImageType::NodeType
 
using PixelType = typename Superclass::PixelType
 
using Pointer = SmartPointer< Self >
 
using Self = FiniteDifferenceSparseImageFilter
 
using SizeType = typename SparseOutputImageType::SizeType
 
using SparseFunctionType = FiniteDifferenceSparseImageFunction< SparseOutputImageType >
 
using SparseOutputImageType = typename Superclass::OutputImageType
 
using Superclass = FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >
 
using TimeStepType = typename Superclass::TimeStepType
 
- Public Types inherited from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using FiniteDifferenceFunctionType = FiniteDifferenceFunction< TSparseOutputImage >
 
using InputImageType = TInputImage
 
using InputPixelType = typename TInputImage::PixelType
 
using InputPixelValueType = typename NumericTraits< InputPixelType >::ValueType
 
using NeighborhoodScalesType = typename FiniteDifferenceFunctionType::NeighborhoodScalesType
 
using OutputImageType = TSparseOutputImage
 
using OutputPixelType = typename TSparseOutputImage ::PixelType
 
using OutputPixelValueType = typename NumericTraits< OutputPixelType >::ValueType
 
using PixelType = OutputPixelType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename FiniteDifferenceFunctionType::RadiusType
 
using Self = FiniteDifferenceImageFilter
 
using Superclass = InPlaceImageFilter< TInputImage, TSparseOutputImage >
 
using TimeStepType = typename FiniteDifferenceFunctionType::TimeStepType
 
- Public Types inherited from itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using OutputImagePointer = typename Superclass::OutputImagePointer
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using OutputImageType = typename Superclass::OutputImageType
 
using Pointer = SmartPointer< Self >
 
using Self = InPlaceImageFilter
 
using Superclass = ImageToImageFilter< TInputImage, TSparseOutputImage >
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TSparseOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< TSparseOutputImage >
 
- Public Types inherited from itk::ImageSource< TSparseOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TSparseOutputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual NodeValueType GetIsoLevelHigh () const
 
virtual NodeValueType GetIsoLevelLow () const
 
virtual unsigned int GetMaxIteration () const
 
virtual NodeValueType GetMinVectorNorm () const
 
virtual const char * GetNameOfClass () const
 
virtual bool GetUnsharpMaskingFlag () const
 
virtual NodeValueType GetUnsharpMaskingWeight () const
 
virtual void SetIsoLevelHigh (NodeValueType _arg)
 
virtual void SetIsoLevelLow (NodeValueType _arg)
 
virtual void SetMaxIteration (unsigned int _arg)
 
virtual void SetMinVectorNorm (NodeValueType _arg)
 
void SetNormalFunction (NormalFunctionType *nf)
 
virtual void SetUnsharpMaskingFlag (bool _arg)
 
virtual void SetUnsharpMaskingWeight (NodeValueType _arg)
 
- Public Member Functions inherited from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >
virtual bool GetPrecomputeFlag () const
 
virtual void SetPrecomputeFlag (bool _arg)
 
void SetSparseFunction (SparseFunctionType *sf)
 
- Public Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >
virtual const FiniteDifferenceFunctionType ::PointerGetDifferenceFunction () const
 
virtual const IdentifierTypeGetElapsedIterations () const
 
virtual void SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
 
virtual void SetNumberOfIterations (IdentifierType _arg)
 
virtual const IdentifierTypeGetNumberOfIterations () const
 
virtual void SetUseImageSpacing (bool _arg)
 
virtual void UseImageSpacingOn ()
 
virtual void UseImageSpacingOff ()
 
virtual const bool & GetUseImageSpacing () const
 
virtual void SetMaximumRMSError (double _arg)
 
virtual const double & GetMaximumRMSError () const
 
virtual void SetRMSChange (double _arg)
 
virtual const double & GetRMSChange () const
 
virtual void SetManualReinitialization (bool _arg)
 
virtual const bool & GetManualReinitialization () const
 
virtual void ManualReinitializationOn ()
 
virtual void ManualReinitializationOff ()
 
virtual void SetIsInitialized (bool _arg)
 
virtual bool GetIsInitialized ()
 
void SetStateToUninitialized ()
 
void SetStateToInitialized ()
 
- Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >
virtual void SetInPlace (bool _arg)
 
virtual bool GetInPlace () const
 
virtual void InPlaceOn ()
 
virtual void InPlaceOff ()
 
virtual bool CanRunInPlace () const
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TSparseOutputImage >
const InputImageTypeGetInput () const
 
const InputImageTypeGetInput (unsigned int idx) const
 
void PopBackInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TSparseOutputImage >
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual const float & GetProgress () const
 
void UpdateProgress (float progress)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputInformation ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual void ResetPipeline ()
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
MultiThreaderTypeGetMultiThreader () const
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void PrepareOutputs ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

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

Static Public Attributes

static constexpr unsigned int ImageDimension = Superclass::ImageDimension
 
- Static Public Attributes inherited from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >
static constexpr unsigned int ImageDimension
 
- Static Public Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >
static constexpr unsigned int ImageDimension
 
- Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >
static constexpr unsigned int InputImageDimension
 
static constexpr unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TSparseOutputImage >
static constexpr unsigned int InputImageDimension
 
static constexpr unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TSparseOutputImage >
static constexpr unsigned int OutputImageDimension
 

Protected Member Functions

void CopyInputToOutput () override
 
 ImplicitManifoldNormalVectorFilter ()
 
void Initialize () override
 
void InitializeNormalBandNode (NormalBandNodeType *node, const InputImageIteratorType &it)
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void SetNormalBand ()
 
 ~ImplicitManifoldNormalVectorFilter () override=default
 
- Protected Member Functions inherited from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >
void AllocateUpdateBuffer () override
 
void ApplyUpdate (const TimeStepType &dt) override
 
TimeStepType CalculateChange () override
 
virtual NodeDataType DataConstraint (const NodeDataType &data) const
 
 FiniteDifferenceSparseImageFilter ()
 
ThreadIdType GetSplitRegion (ThreadIdType i, ThreadIdType num, ThreadRegionType &splitRegion)
 
void Initialize () override
 
virtual void PrecalculateChange ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual void ThreadedApplyUpdate (const TimeStepType &dt, const ThreadRegionType &regionToProcess, ThreadIdType threadId)
 
virtual TimeStepType ThreadedCalculateChange (const ThreadRegionType &regionToProcess, ThreadIdType threadId)
 
virtual void ThreadedPrecalculateChange (const ThreadRegionType &regionToProcess, ThreadIdType threadId)
 
 ~FiniteDifferenceSparseImageFilter () override=default
 
- Protected Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >
 FiniteDifferenceImageFilter ()
 
 ~FiniteDifferenceImageFilter () override=default
 
void GenerateData () override
 
void GenerateInputRequestedRegion () override
 
virtual bool ThreadedHalt (void *)
 
virtual void InitializeIteration ()
 
virtual TimeStepType ResolveTimeStep (const std::vector< TimeStepType > &timeStepList, const std::vector< bool > &valid) const
 
virtual void SetElapsedIterations (IdentifierType _arg)
 
- Protected Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >
 InPlaceImageFilter ()=default
 
 ~InPlaceImageFilter () override=default
 
void AllocateOutputs () override
 
void ReleaseInputs () override
 
virtual bool GetRunningInPlace () const
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TSparseOutputImage >
void PushBackInput (const DataObject *input) override
 
void PushFrontInput (const DataObject *input) override
 
 ImageToImageFilter ()
 
 ~ImageToImageFilter () override
 
void VerifyInputInformation () ITKv5_CONST override
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
- Protected Member Functions inherited from itk::ImageSource< TSparseOutputImage >
 ImageSource ()
 
 ~ImageSource () override=default
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual void BeforeThreadedGenerateData ()
 
virtual void AfterThreadedGenerateData ()
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
- Protected Member Functions inherited from itk::ProcessObject
 ProcessObject ()
 
 ~ProcessObject () override
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void AddInput (DataObject *input)
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
virtual void SetPrimaryInput (DataObject *input)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
virtual void AddOutput (DataObject *output)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
virtual void VerifyPreconditions () ITKv5_CONST
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual void GenerateOutputInformation ()
 
virtual void PropagateResetPipeline ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void RestoreInputReleaseDataFlags ()
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 
NormalFunctionTypem_NormalFunction
 
unsigned int m_MaxIteration
 
NodeValueType m_IsoLevelLow
 
NodeValueType m_IsoLevelHigh
 
NodeValueType m_MinVectorNorm
 
bool m_UnsharpMaskingFlag
 
NodeValueType m_UnsharpMaskingWeight
 
unsigned long m_Indicator [Self::ImageDimension]
 
unsigned int m_NumVertex
 
NodeValueType m_DimConst
 
NodeValueType m_DimConst2
 
RadiusType m_ManifoldRadius
 
bool Halt () override
 
NormalVectorType DataConstraint (const NormalVectorType &data) const override
 
void PostProcessOutput () override
 

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TSparseOutputImage >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 
- Static Protected Member Functions inherited from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ApplyUpdateThreaderCallback (void *arg)
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION CalculateChangeThreaderCallback (void *arg)
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION PrecalculateChangeThreaderCallback (void *arg)
 
- Static Protected Member Functions inherited from itk::ImageSource< TSparseOutputImage >
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >
bool m_IsInitialized
 
IdentifierType m_NumberOfIterations
 
IdentifierType m_ElapsedIterations
 
bool m_ManualReinitialization
 
double m_RMSChange
 
double m_MaximumRMSError
 
- Protected Attributes inherited from itk::ImageSource< TSparseOutputImage >
bool m_DynamicMultiThreading
 
- Protected Attributes inherited from itk::ProcessObject
bool m_Updating
 
TimeStamp m_OutputInformationMTime
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

template<typename TInputImage, typename TSparseOutputImage>
class itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >

This class implements the filter for computing the normal vectors from a scalar implicit function (i.e. a levelset image) and processing them.

This is a ready-to-use class for filtering normal vectors of an implicit manifold image. The normal vectors of the input image are computed and processed in a band where the values of the input image fall in the region [IsoLevelLow, IsoLevelHigh]. The processing is done by m_NormalFunction. This class also defines a Halt method which uses the iteration counter and the parameter m_MaxIteration to determine when to stop the processing.
INPUTS
The input is a scalar image. Even though this can be any scalar image, this filter class is intended to work with the image of an implicit function. One such example is the output of the SparseFieldLevelSetImageFilter class.
OUTPUTS
The output is a sparse image. The m_Data member variables of the nodes of the sparse image will contain the filtered output normal vectors. The sparse image has valid node pointers only in the band [IsoLevelLow, IsoLevelHigh]. Pixels of the sparse image outside this band will be null pointers.
PARAMETERS
IsoLevelLow and IsoLevelHigh define the working band for this filter. Pixels of the input scalar image whose values fall between these low and high limits will be operated on. MaxIteration determines the number of iterations this filter will perform. (Default is 25) The MinVectorNorm parameter determines the minimum vector norm allowed (to avoid divide by 0). The default for MinVectorNorm is 10^-6 which is designed to work with an input image of floats. This value can be lowered to 10^-12 if the input image is doubles.
IMPORTANT
The TSparseOutputImage template parameter must be a sparse image templated over a NodeType which at least has the following members: m_Data, m_InputData, m_Update and m_MAnifoldNormal. Depending on the Function object being used it might need other members. For instance, NormalVectorDiffusionFunction will also require that the NodeType has the following additional members: m_Flux.

Definition at line 73 of file itkImplicitManifoldNormalVectorFilter.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 84 of file itkImplicitManifoldNormalVectorFilter.h.

◆ FiniteDifferenceFunctionType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::FiniteDifferenceFunctionType = typename Superclass::FiniteDifferenceFunctionType

Definition at line 100 of file itkImplicitManifoldNormalVectorFilter.h.

◆ IndexType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::IndexType = typename Superclass::IndexType

Definition at line 97 of file itkImplicitManifoldNormalVectorFilter.h.

◆ InputImageIteratorType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::InputImageIteratorType = ConstNeighborhoodIterator<InputImageType>

The iterator for the input image.

Definition at line 107 of file itkImplicitManifoldNormalVectorFilter.h.

◆ InputImageType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::InputImageType = typename Superclass::InputImageType

Typedefs from the superclass

Definition at line 96 of file itkImplicitManifoldNormalVectorFilter.h.

◆ NodeListType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NodeListType = typename Superclass::NodeListType

Definition at line 104 of file itkImplicitManifoldNormalVectorFilter.h.

◆ NodeValueType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NodeValueType = typename Superclass::NodeValueType

Definition at line 99 of file itkImplicitManifoldNormalVectorFilter.h.

◆ NormalBandNodeType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalBandNodeType = typename Superclass::OutputNodeType

Definition at line 103 of file itkImplicitManifoldNormalVectorFilter.h.

◆ NormalFunctionType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalFunctionType = NormalVectorFunctionBase<SparseOutputImageType>

This is the finite difference function type for processing the normal vectors

Definition at line 111 of file itkImplicitManifoldNormalVectorFilter.h.

◆ NormalVectorType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalVectorType = typename Superclass::NodeDataType

Definition at line 98 of file itkImplicitManifoldNormalVectorFilter.h.

◆ Pointer

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Pointer = SmartPointer<Self>

Definition at line 83 of file itkImplicitManifoldNormalVectorFilter.h.

◆ RadiusType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::RadiusType = typename FiniteDifferenceFunctionType::RadiusType

This is the radius type for the image neighborhoods.

Definition at line 114 of file itkImplicitManifoldNormalVectorFilter.h.

◆ Self

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Self = ImplicitManifoldNormalVectorFilter

Standard class type alias

Definition at line 80 of file itkImplicitManifoldNormalVectorFilter.h.

◆ SparseOutputImageType

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SparseOutputImageType = typename Superclass::SparseOutputImageType

Definition at line 102 of file itkImplicitManifoldNormalVectorFilter.h.

◆ Superclass

template<typename TInputImage , typename TSparseOutputImage >
using itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Superclass = FiniteDifferenceSparseImageFilter<TInputImage, TSparseOutputImage>

Definition at line 81 of file itkImplicitManifoldNormalVectorFilter.h.

Constructor & Destructor Documentation

◆ ImplicitManifoldNormalVectorFilter()

template<typename TInputImage , typename TSparseOutputImage >
itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::ImplicitManifoldNormalVectorFilter ( )
protected

◆ ~ImplicitManifoldNormalVectorFilter()

template<typename TInputImage , typename TSparseOutputImage >
itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::~ImplicitManifoldNormalVectorFilter ( )
overrideprotecteddefault

Member Function Documentation

◆ CopyInputToOutput()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::CopyInputToOutput ( )
inlineoverrideprotectedvirtual

This function does nothing. The output initialization is handled by Initialize.

Implements itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >.

Definition at line 155 of file itkImplicitManifoldNormalVectorFilter.h.

◆ CreateAnother()

template<typename TInputImage , typename TSparseOutputImage >
virtual::itk::LightObject::Pointer itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::CreateAnother ( ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

◆ DataConstraint()

template<typename TInputImage , typename TSparseOutputImage >
NormalVectorType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::DataConstraint ( const NormalVectorType data) const
inlineoverrideprotected

This function implements the unit norm constraint for normal vectors.

Definition at line 177 of file itkImplicitManifoldNormalVectorFilter.h.

◆ GetIsoLevelHigh()

template<typename TInputImage , typename TSparseOutputImage >
virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetIsoLevelHigh ( ) const
virtual

◆ GetIsoLevelLow()

template<typename TInputImage , typename TSparseOutputImage >
virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetIsoLevelLow ( ) const
virtual

◆ GetMaxIteration()

template<typename TInputImage , typename TSparseOutputImage >
virtual unsigned int itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetMaxIteration ( ) const
virtual

◆ GetMinVectorNorm()

template<typename TInputImage , typename TSparseOutputImage >
virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetMinVectorNorm ( ) const
virtual

◆ GetNameOfClass()

template<typename TInputImage , typename TSparseOutputImage >
virtual const char* itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods)

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

◆ GetUnsharpMaskingFlag()

template<typename TInputImage , typename TSparseOutputImage >
virtual bool itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetUnsharpMaskingFlag ( ) const
virtual

◆ GetUnsharpMaskingWeight()

template<typename TInputImage , typename TSparseOutputImage >
virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetUnsharpMaskingWeight ( ) const
virtual

◆ Halt()

template<typename TInputImage , typename TSparseOutputImage >
bool itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Halt ( )
inlineoverrideprotectedvirtual

This is the stopping criterion function used in the iterative finite difference scheme.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >.

Definition at line 161 of file itkImplicitManifoldNormalVectorFilter.h.

◆ Initialize()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Initialize ( )
overrideprotectedvirtual

This calls SetNormalBand to create the band of normals to process.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >.

◆ InitializeNormalBandNode()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::InitializeNormalBandNode ( NormalBandNodeType node,
const InputImageIteratorType it 
)
protected

This function precomputes information for normal vector processing.

◆ New()

template<typename TInputImage , typename TSparseOutputImage >
static Pointer itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::New ( )
static

Standard New macro.

◆ PostProcessOutput()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::PostProcessOutput ( )
overrideprotectedvirtual

This function implements unsharp masking which is turned ON/OFF by the UnsharpMaskingFlag and controlled by the UnsharpMaskingWeight parameters.

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >.

◆ PrintSelf()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

STL map to store the named inputs and outputs

Reimplemented from itk::ProcessObject.

◆ SetIsoLevelHigh()

template<typename TInputImage , typename TSparseOutputImage >
virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetIsoLevelHigh ( NodeValueType  _arg)
virtual

◆ SetIsoLevelLow()

template<typename TInputImage , typename TSparseOutputImage >
virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetIsoLevelLow ( NodeValueType  _arg)
virtual

◆ SetMaxIteration()

template<typename TInputImage , typename TSparseOutputImage >
virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetMaxIteration ( unsigned int  _arg)
virtual

◆ SetMinVectorNorm()

template<typename TInputImage , typename TSparseOutputImage >
virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetMinVectorNorm ( NodeValueType  _arg)
virtual

◆ SetNormalBand()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetNormalBand ( )
protected

This function sets the band for normal vector processing.

◆ SetNormalFunction()

template<typename TInputImage , typename TSparseOutputImage >
void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetNormalFunction ( NormalFunctionType nf)

This method is used to set the finite difference function.

◆ SetUnsharpMaskingFlag()

template<typename TInputImage , typename TSparseOutputImage >
virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetUnsharpMaskingFlag ( bool  _arg)
virtual

◆ SetUnsharpMaskingWeight()

template<typename TInputImage , typename TSparseOutputImage >
virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetUnsharpMaskingWeight ( NodeValueType  _arg)
virtual

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TSparseOutputImage >
constexpr unsigned int itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::ImageDimension = Superclass::ImageDimension
staticconstexpr

Standard get dimension macro.

Definition at line 93 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_DimConst

template<typename TInputImage , typename TSparseOutputImage >
NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_DimConst
private

The finite difference function.

Definition at line 212 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_DimConst2

template<typename TInputImage , typename TSparseOutputImage >
NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_DimConst2
private

The finite difference function.

Definition at line 213 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_Indicator

template<typename TInputImage , typename TSparseOutputImage >
unsigned long itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_Indicator[Self::ImageDimension]
private

Constants used in computations.

Definition at line 210 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_IsoLevelHigh

template<typename TInputImage , typename TSparseOutputImage >
NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_IsoLevelHigh
private

The finite difference function.

Definition at line 197 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_IsoLevelLow

template<typename TInputImage , typename TSparseOutputImage >
NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_IsoLevelLow
private

The upper and lower limits of the band of the scalar image on which we operate.

Definition at line 197 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_ManifoldRadius

template<typename TInputImage , typename TSparseOutputImage >
RadiusType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_ManifoldRadius
private

The finite difference function.

Definition at line 214 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_MaxIteration

template<typename TInputImage , typename TSparseOutputImage >
unsigned int itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_MaxIteration
private

The number of iterations this filter will execute.

Definition at line 193 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_MinVectorNorm

template<typename TInputImage , typename TSparseOutputImage >
NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_MinVectorNorm
private

The minimum length a vector is allowed to have to avoid divide by zero.

Definition at line 200 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_NormalFunction

template<typename TInputImage , typename TSparseOutputImage >
NormalFunctionType* itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_NormalFunction
private

The finite difference function.

Definition at line 190 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_NumVertex

template<typename TInputImage , typename TSparseOutputImage >
unsigned int itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_NumVertex
private

The finite difference function.

Definition at line 211 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_UnsharpMaskingFlag

template<typename TInputImage , typename TSparseOutputImage >
bool itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_UnsharpMaskingFlag
private

The ON/OFF switch for unsharp masking. Default is OFF.

Definition at line 203 of file itkImplicitManifoldNormalVectorFilter.h.

◆ m_UnsharpMaskingWeight

template<typename TInputImage , typename TSparseOutputImage >
NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::m_UnsharpMaskingWeight
private

The weight determining the extent of enhancement if unsharp masking is turned on.

Definition at line 207 of file itkImplicitManifoldNormalVectorFilter.h.


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