ITK  5.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Attributes | List of all members
itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkSmoothingRecursiveGaussianImageFilter.h>

+ Inheritance diagram for itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >:
+ Collaboration diagram for itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >:

Detailed Description

template<typename TInputImage, typename TOutputImage = TInputImage>
class itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.

This filter is implemented using the recursive gaussian filters. For multi-component images, the filter works on each component independently.

For this filter to be able to run in-place the input and output image types need to be the same and/or the same type as the RealImageType.

Wiki Examples:
Examples:
Examples/Filtering/SmoothingRecursiveGaussianImageFilter2.cxx, Examples/IO/DicomSeriesReadGaussianImageWrite.cxx, SphinxExamples/src/Filtering/Smoothing/SmoothWithRecursiveGaussian/Code.cxx, and WikiExamples/Smoothing/SmoothingRecursiveGaussianImageFilter.cxx.

Definition at line 53 of file itkSmoothingRecursiveGaussianImageFilter.h.

Public Types

using CastingFilterPointer = typename CastingFilterType::Pointer
 
using CastingFilterType = CastImageFilter< RealImageType, OutputImageType >
 
using ConstPointer = SmartPointer< const Self >
 
using FirstGaussianFilterPointer = typename FirstGaussianFilterType::Pointer
 
using FirstGaussianFilterType = RecursiveGaussianImageFilter< InputImageType, RealImageType >
 
using InputImageType = TInputImage
 
using InternalGaussianFilterPointer = typename InternalGaussianFilterType::Pointer
 
using InternalGaussianFilterType = RecursiveGaussianImageFilter< RealImageType, RealImageType >
 
using InternalRealType = typename NumericTraits< PixelType >::FloatType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageType = TOutputImage
 
using PixelType = typename TInputImage::PixelType
 
using Pointer = SmartPointer< Self >
 
using RealImageType = typename InputImageType::template Rebind< InternalRealType >::Type
 
using RealType = typename NumericTraits< PixelType >::RealType
 
using ScalarRealType = typename NumericTraits< PixelType >::ScalarRealType
 
using Self = SmoothingRecursiveGaussianImageFilter
 
using SigmaArrayType = FixedArray< ScalarRealType, Self::ImageDimension >
 
using Superclass = InPlaceImageFilter< TInputImage, TOutputImage >
 
- Public Types inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using 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, TOutputImage >
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< TOutputImage >
 
- Public Types inherited from itk::ImageSource< TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TOutputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

bool CanRunInPlace () const override
 
virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
ScalarRealType GetSigma () const
 
SigmaArrayType GetSigmaArray () const
 
void SetNumberOfWorkUnits (ThreadIdType nb) override
 
void SetSigmaArray (const SigmaArrayType &sigmas)
 
void SetSigma (ScalarRealType sigma)
 
void SetNormalizeAcrossScale (bool normalizeInScaleSpace)
 
virtual bool GetNormalizeAcrossScale () const
 
virtual void NormalizeAcrossScaleOn ()
 
virtual void NormalizeAcrossScaleOff ()
 
- Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
virtual void SetInPlace (bool _arg)
 
virtual bool GetInPlace () const
 
virtual void InPlaceOn ()
 
virtual void InPlaceOff ()
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
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 InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput (unsigned int idx)
 
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
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 ()
 
MultiThreaderTypeGetMultiThreader () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
virtual const float & GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual void PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
- 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 noexceptoverride
 
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::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 = TInputImage::ImageDimension
 
- Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 

Protected Member Functions

void EnlargeOutputRequestedRegion (DataObject *output) override
 
void GenerateData () override
 
void GenerateInputRequestedRegion () override
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 SmoothingRecursiveGaussianImageFilter ()
 
 ~SmoothingRecursiveGaussianImageFilter () override=default
 
- Protected Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
void AllocateOutputs () override
 
virtual bool GetRunningInPlace () const
 
 InPlaceImageFilter ()=default
 
void ReleaseInputs () override
 
 ~InPlaceImageFilter () override=default
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
 ImageToImageFilter ()
 
void VerifyInputInformation () ITKv5_CONST override
 
 ~ImageToImageFilter () override
 
void PushBackInput (const DataObject *input) override
 
void PushFrontInput (const DataObject *input) override
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void AfterThreadedGenerateData ()
 
virtual void BeforeThreadedGenerateData ()
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual const
ImageRegionSplitterBase
GetImageRegionSplitter () const
 
 ImageSource ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
 ~ImageSource () override=default
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void AddOutput (DataObject *output)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputInformation ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs () const
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
 ProcessObject ()
 
virtual void PropagateResetPipeline ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *input)
 
virtual void SetPrimaryOutput (DataObject *output)
 
void SetRequiredInputNames (const NameArray &)
 
virtual void VerifyPreconditions () ITKv5_CONST
 
 ~ProcessObject () override
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
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
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
 ~Object () override
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Private Attributes

CastingFilterPointer m_CastingFilter
 
FirstGaussianFilterPointer m_FirstSmoothingFilter
 
bool m_NormalizeAcrossScale { false }
 
SigmaArrayType m_Sigma
 
InternalGaussianFilterPointer m_SmoothingFilters [ImageDimension-1]
 

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 
- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const
ImageRegionSplitterBase
GetGlobalDefaultSplitter ()
 
static
ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION 
ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool m_DynamicMultiThreading
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Member Typedef Documentation

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CastingFilterPointer = typename CastingFilterType::Pointer

Pointer to the casting image filter.

Definition at line 105 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CastingFilterType = CastImageFilter< RealImageType, OutputImageType >

Typedef for the casting image filter.

Definition at line 96 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer< const Self >

Definition at line 63 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FirstGaussianFilterPointer = typename FirstGaussianFilterType::Pointer

Pointer to the first Gaussian smoothing filter.

Definition at line 102 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FirstGaussianFilterType = RecursiveGaussianImageFilter< InputImageType, RealImageType >

Typedef for the first Gaussian smoothing in the pipeline.

Definition at line 90 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage

Pixel type alias.

Definition at line 66 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalGaussianFilterPointer = typename InternalGaussianFilterType::Pointer

Pointer to the internal Gaussian filter.

Definition at line 99 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalGaussianFilterType = RecursiveGaussianImageFilter< RealImageType, RealImageType >

Typedef for the internal Gaussian smoothing filter.

Definition at line 93 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType = typename NumericTraits< PixelType >::FloatType

Define the image type for internal computations. RealType is usually 'double' in NumericTraits. Here we prefer float in order to save memory.

Definition at line 86 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename OutputImageType::Pointer

Pointer to the Output Image

Definition at line 108 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage

Definition at line 67 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType = typename TInputImage::PixelType

Definition at line 68 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer< Self >

Definition at line 62 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType = typename InputImageType::template Rebind<InternalRealType>::Type

Definition at line 87 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType = typename NumericTraits< PixelType >::RealType

Definition at line 69 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType = typename NumericTraits< PixelType >::ScalarRealType

Definition at line 70 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self = SmoothingRecursiveGaussianImageFilter

Standard class type aliases.

Definition at line 60 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SigmaArrayType = FixedArray< ScalarRealType, Self::ImageDimension >

Define the type for the sigma array.

Definition at line 81 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass = InPlaceImageFilter< TInputImage, TOutputImage >

Definition at line 61 of file itkSmoothingRecursiveGaussianImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputImage , typename TOutputImage = TInputImage>
itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SmoothingRecursiveGaussianImageFilter ( )
protected
template<typename TInputImage , typename TOutputImage = TInputImage>
itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~SmoothingRecursiveGaussianImageFilter ( )
overrideprotecteddefault

Member Function Documentation

template<typename TInputImage , typename TOutputImage = TInputImage>
bool itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CanRunInPlace ( ) const
overridevirtual

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.

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

template<typename TInputImage , typename TOutputImage = TInputImage>
virtual::itk::LightObject::Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CreateAnother ( ) const
virtual

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

Reimplemented from itk::Object.

template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject )
overrideprotectedvirtual

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 from itk::ProcessObject.

template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData ( )
overrideprotectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling DynamicThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter can be threaded, it should NOT provide a GenerateData() method but should provide a DynamicThreadedGenerateData() instead.

See Also
ThreadedGenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )
overrideprotectedvirtual

SmoothingRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, SmoothingRecursiveGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion in order to inform the pipeline execution model.

See Also
ImageToImageFilter::GenerateInputRequestedRegion()

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

template<typename TInputImage , typename TOutputImage = TInputImage>
virtual const char* itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const
virtual

Runtime information support.

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

template<typename TInputImage , typename TOutputImage = TInputImage>
virtual bool itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNormalizeAcrossScale ( ) const
virtual

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See Also
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
template<typename TInputImage , typename TOutputImage = TInputImage>
ScalarRealType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma ( ) const

Get the Sigma scalar. If the Sigma is anisotropic, we will just return the Sigma along the first dimension.

template<typename TInputImage , typename TOutputImage = TInputImage>
SigmaArrayType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigmaArray ( ) const

Get the Sigma value.

template<typename TInputImage , typename TOutputImage = TInputImage>
static Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New ( )
static

Method for creation through the object factory.

template<typename TInputImage , typename TOutputImage = TInputImage>
virtual void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::NormalizeAcrossScaleOff ( )
virtual

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See Also
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
template<typename TInputImage , typename TOutputImage = TInputImage>
virtual void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::NormalizeAcrossScaleOn ( )
virtual

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See Also
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

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::InPlaceImageFilter< TInputImage, TOutputImage >.

template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale ( bool  normalizeInScaleSpace)

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See Also
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNumberOfWorkUnits ( ThreadIdType  _arg)
overridevirtual

Get/Set the number of work units to create when executing.

Reimplemented from itk::ProcessObject.

template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( ScalarRealType  sigma)

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

template<typename TInputImage , typename TOutputImage = TInputImage>
void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigmaArray ( const SigmaArrayType sigmas)

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Member Data Documentation

template<typename TInputImage , typename TOutputImage = TInputImage>
constexpr unsigned int itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension
static

Image dimension.

Definition at line 77 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
CastingFilterPointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_CastingFilter
private

Definition at line 170 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
FirstGaussianFilterPointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_FirstSmoothingFilter
private

Definition at line 169 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
bool itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale { false }
private

Definition at line 172 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
SigmaArrayType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Sigma
private

Definition at line 174 of file itkSmoothingRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = TInputImage>
InternalGaussianFilterPointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters[ImageDimension-1]
private

Definition at line 168 of file itkSmoothingRecursiveGaussianImageFilter.h.


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