ITK  4.3.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Member Functions | Private Attributes | List of all members
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkGradientRecursiveGaussianImageFilter.h>

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

Detailed Description

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
class itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the gradient of an image by convolution with the first derivative of a Gaussian.

This filter is implemented using the recursive gaussian filters.

This filter supports both scalar and vector pixel types within the input image, including VectorImage type.

Wiki Examples:

Definition at line 56 of file itkGradientRecursiveGaussianImageFilter.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef CovariantVector
< OutputComponentType,
ImageDimension
CovariantVectorType
 
typedef
DerivativeFilterType::Pointer 
DerivativeFilterPointer
 
typedef
RecursiveGaussianImageFilter
< InputImageType,
RealImageType
DerivativeFilterType
 
typedef GaussianFilterType::Pointer GaussianFilterPointer
 
typedef
RecursiveGaussianImageFilter
< RealImageType, RealImageType
GaussianFilterType
 
typedef CovariantVector
< ScalarRealType,
ImageDimension
GradientVectorType
 
typedef TInputImage InputImageType
 
typedef NumericTraits
< RealType >::FloatType 
InternalRealType
 
typedef NumericTraits
< InternalRealType >
::ValueType 
InternalScalarRealType
 
typedef NumericTraits
< OutputPixelType >::ValueType 
OutputComponentType
 
typedef
OutputImageAdaptorType::Pointer 
OutputImageAdaptorPointer
 
typedef NthElementImageAdaptor
< TOutputImage,
InternalScalarRealType
OutputImageAdaptorType
 
typedef TOutputImage::Pointer OutputImagePointer
 
typedef TOutputImage OutputImageType
 
typedef OutputImageType::PixelType OutputPixelType
 
typedef TInputImage::PixelType PixelType
 
typedef SmartPointer< SelfPointer
 
typedef Image
< InternalRealType,
itkGetStaticConstMacro(ImageDimension) > 
RealImageType
 
typedef NumericTraits
< PixelType >::RealType 
RealType
 
typedef NumericTraits
< PixelType >::ScalarRealType 
ScalarRealType
 
typedef
GradientRecursiveGaussianImageFilter 
Self
 
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef SmartPointer< const SelfConstPointer
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef InputImageType::Pointer InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef TInputImage InputImageType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef SmartPointer< SelfPointer
 
typedef ImageToImageFilter Self
 
typedef ImageSource< TOutputImage > Superclass
 
- Public Types inherited from itk::ImageSource< TOutputImage >
typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
 
typedef OutputImageType::PixelType OutputImagePixelType
 
typedef OutputImageType::Pointer OutputImagePointer
 
typedef OutputImageType::RegionType OutputImageRegionType
 
typedef TOutputImage OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef ImageSource Self
 
typedef ProcessObject Superclass
 
- Public Types inherited from itk::ProcessObject
typedef SmartPointer< const SelfConstPointer
 
typedef
DataObject::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
 
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
 
typedef std::vector
< DataObjectIdentifierType
NameArray
 
typedef SmartPointer< SelfPointer
 
typedef ProcessObject Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
 
virtual const char * GetNameOfClass () const
 
 typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck
 
void SetSigma (ScalarRealType sigma)
 
RealType GetSigma () const
 
void SetNormalizeAcrossScale (bool normalizeInScaleSpace)
 
virtual bool GetNormalizeAcrossScale () const
 
virtual void SetUseImageDirection (bool _arg)
 
virtual bool GetUseImageDirection () const
 
virtual void UseImageDirectionOn ()
 
virtual void UseImageDirectionOff ()
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual double GetCoordinateTolerance ()
 
const InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (unsigned int idx) const
 
virtual void PopBackInput ()
 
virtual void PopFrontInput ()
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance ()
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (void) const
 
virtual
ProcessObject::DataObjectPointer 
MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual const bool & GetAbortGenerateData ()
 
NameArray GetInputNames () const
 
MultiThreader * GetMultiThreader () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
virtual const float & GetProgress ()
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
 
virtual void PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void SetProgress (float _arg)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float amount)
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArray GetOutputs ()
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfThreads (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfThreads ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual 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
 
virtual void Register () const
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int)
 
virtual void UnRegister () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 

Static Public Attributes

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

Protected Member Functions

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

Private Member Functions

 GradientRecursiveGaussianImageFilter (const Self &)
 
void operator= (const Self &)
 
template<class TValueType >
void TransformOutputPixel (ImageRegionIterator< VectorImage< TValueType, ImageDimension > > &it)
 
template<class T >
void TransformOutputPixel (ImageRegionIterator< T > &it)
 
template<template< class, unsigned int > class P, class T , unsigned int N>
void TransformOutputPixel (ImageRegionIterator< Image< P< T, N >, N > > &it)
 

Private Attributes

DerivativeFilterPointer m_DerivativeFilter
 
OutputImageAdaptorPointer m_ImageAdaptor
 
bool m_NormalizeAcrossScale
 
std::vector
< GaussianFilterPointer
m_SmoothingFilters
 
bool m_UseImageDirection
 

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) > 
InputToOutputRegionCopierType
 
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) > 
OutputToInputRegionCopierType
 
- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 

Member Typedef Documentation

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef SmartPointer< const Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer

Definition at line 64 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef CovariantVector< OutputComponentType, ImageDimension > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CovariantVectorType

Definition at line 127 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef DerivativeFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer

Pointer to a derivative filter.

Definition at line 117 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef RecursiveGaussianImageFilter< InputImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType

Derivative filter type, it will be the first in the pipeline

Definition at line 111 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef GaussianFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer

Pointer to a gaussian filter.

Definition at line 114 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType

Smoothing filter type

Definition at line 105 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef CovariantVector<ScalarRealType, ImageDimension > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientVectorType

Gradient vector typedef

Definition at line 83 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef TInputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType

Pixel Type of the input image. May be scalar or vector.

Definition at line 67 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef NumericTraits< RealType >::FloatType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType

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 75 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef NumericTraits< InternalRealType >::ValueType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalScalarRealType

Definition at line 76 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef NumericTraits< OutputPixelType >::ValueType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType

Definition at line 125 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef OutputImageAdaptorType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer

Definition at line 99 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef NthElementImageAdaptor< TOutputImage, InternalScalarRealType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType

Output Image Nth Element Adaptor This adaptor allows to use conventional scalar smoothing filters to compute each one of the components of the gradient image pixels.

Definition at line 97 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef TOutputImage::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Pointer to the Output Image

Definition at line 120 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef TOutputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType

Type of the output Image

Definition at line 123 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef OutputImageType::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 124 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef TInputImage::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType

Definition at line 68 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef SmartPointer< Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer

Definition at line 63 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef Image< InternalRealType, itkGetStaticConstMacro(ImageDimension) > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType

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 89 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef NumericTraits< PixelType >::RealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType

Definition at line 69 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef NumericTraits< PixelType >::ScalarRealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType

Definition at line 70 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef GradientRecursiveGaussianImageFilter itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

Definition at line 61 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
typedef ImageToImageFilter< TInputImage, TOutputImage > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass

Definition at line 62 of file itkGradientRecursiveGaussianImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter ( )
protected

End concept checking

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter ( )
inlineprotectedvirtual

Definition at line 181 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter ( const Self )
private

Member Function Documentation

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual::itk::LightObject::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const
virtual

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

Reimplemented from itk::Object.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject )
protectedvirtual

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 = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData ( void  )
protectedvirtual

Generate Data

Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( ) throw ( InvalidRequestedRegionError )
virtual

GradientRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, GradientRecursiveGaussianImageFilter 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 = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation ( )
protectedvirtual

Generate the information describing 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 from itk::ProcessObject.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual const char* itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const
virtual

Runtime information support.

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

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNormalizeAcrossScale ( ) const
virtual

Define which normalization factor will be used for the Gaussian

See Also
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
RealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma ( ) const

Set Sigma value. Sigma is measured in the units of image spacing.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetUseImageDirection ( ) const
virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
static Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New ( )
static

Method for creation through the object factory.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::operator= ( const Self )
private
template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

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::ImageToImageFilter< TInputImage, TOutputImage >.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale ( bool  normalizeInScaleSpace)

Define which normalization factor will be used for the Gaussian

See Also
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( ScalarRealType  sigma)

Set Sigma value. Sigma is measured in the units of image spacing.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageDirection ( bool  _arg)
virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
template<class TValueType >
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel ( ImageRegionIterator< VectorImage< TValueType, ImageDimension > > &  it)
inlineprivate

Definition at line 195 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
template<class T >
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel ( ImageRegionIterator< T > &  it)
inlineprivate
template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
template<template< class, unsigned int > class P, class T , unsigned int N>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel ( ImageRegionIterator< Image< P< T, N >, N > > &  it)
inlineprivate

Definition at line 232 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< PixelType )

Begin concept checking This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< PixelType > )

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::UseImageDirectionOff ( )
virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::UseImageDirectionOn ( )
virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

Member Data Documentation

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
const unsigned int itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension
static

Image dimension.

Definition at line 80 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
DerivativeFilterPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilter
private

Definition at line 247 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
OutputImageAdaptorPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ImageAdaptor
private

Definition at line 248 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale
private

Normalize the image across scale space

Definition at line 251 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
std::vector< GaussianFilterPointer > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters
private

Definition at line 246 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, TInputImage::ImageDimension >, TInputImage::ImageDimension >>
bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageDirection
private

Take into account image orientation when computing the Gradient

Definition at line 254 of file itkGradientRecursiveGaussianImageFilter.h.


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