ITK  4.2.0
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
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkGradientRecursiveGaussianImageFilter.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
DerivativeFilterType::Pointer 
DerivativeFilterPointer
typedef
RecursiveGaussianImageFilter
< InputImageType,
RealImageType
DerivativeFilterType
typedef GaussianFilterType::Pointer GaussianFilterPointer
typedef
RecursiveGaussianImageFilter
< RealImageType, RealImageType
GaussianFilterType
typedef TInputImage InputImageType
typedef float InternalRealType
typedef PixelTraits
< OutputPixelType >::ValueType 
OutputComponentType
typedef
OutputImageAdaptorType::Pointer 
OutputImageAdaptorPointer
typedef NthElementImageAdaptor
< TOutputImage,
InternalRealType
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
GradientRecursiveGaussianImageFilter 
Self
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
- Public Types inherited from itk::ImageSource< TOutputImage >
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
typedef DataObject::Pointer DataObjectPointer
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
- Public Types inherited from itk::ProcessObject
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef std::vector
< DataObjectIdentifierType
NameArray
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

Public Member Functions

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

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = 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 >

Protected Member Functions

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

Private Member Functions

 GradientRecursiveGaussianImageFilter (const Self &)
void operator= (const Self &)

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

Detailed Description

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

Wiki Examples:

Definition at line 54 of file itkGradientRecursiveGaussianImageFilter.h.


Member Typedef Documentation

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

Pointer to a derivative filter.

Definition at line 106 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< 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 100 of file itkGradientRecursiveGaussianImageFilter.h.

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

Pointer to a gaussian filter.

Definition at line 103 of file itkGradientRecursiveGaussianImageFilter.h.

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

Smoothing filter type

Definition at line 94 of file itkGradientRecursiveGaussianImageFilter.h.

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

Pixel Type of the input image

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

Definition at line 65 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
typedef float 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 77 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 114 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 88 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
typedef NthElementImageAdaptor< TOutputImage, InternalRealType > 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 86 of file itkGradientRecursiveGaussianImageFilter.h.

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

Pointer to the Output Image

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 109 of file itkGradientRecursiveGaussianImageFilter.h.

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

Type of the output Image

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 112 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 113 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 66 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 79 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 67 of file itkGradientRecursiveGaussianImageFilter.h.

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

Standard class typedefs.

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

Definition at line 59 of file itkGradientRecursiveGaussianImageFilter.h.

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

Constructor & Destructor Documentation

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

End concept checking

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

End concept checking

Definition at line 167 of file itkGradientRecursiveGaussianImageFilter.h.

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

Method for creation through the object factory.

Reimplemented from itk::Object.

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

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

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

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

End concept checking

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

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< 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, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( RealType  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, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< 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, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< 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, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasPixelTraits< OutputPixelType )

This class requires OutputHasPixelTraitsCheck in the form of ( Concept::HasPixelTraits< OutputPixelType > )

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

Image dimension.

Definition at line 71 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 185 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 186 of file itkGradientRecursiveGaussianImageFilter.h.

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

Normalize the image across scale space

Definition at line 189 of file itkGradientRecursiveGaussianImageFilter.h.

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

Definition at line 184 of file itkGradientRecursiveGaussianImageFilter.h.

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

Take into account image orientation when computing the Gradient

Definition at line 192 of file itkGradientRecursiveGaussianImageFilter.h.


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