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itk::DiscreteGaussianDerivativeImageFunction

itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput > Class Template Reference

#include <itkDiscreteGaussianDerivativeImageFunction.h>

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List of all members.

Detailed Description

template<class TInputImage, class TOutput = double>
class itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >

Compute the discrete gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type.

The Initialize() method must be called after setting the parameters and before evaluating the function.

Author:
Iván Macía, VICOMTech, Spain, http://www.vicomtech.es
This implementation was taken from the Insight Journal paper: http://hdl.handle.net/1926/179

See also:
NeighborhoodOperator

ImageFunction

Definition at line 49 of file itkDiscreteGaussianDerivativeImageFunction.h.

Public Types

typedef SmartPointer< const
Self > 		ConstPointer
typedef Superclass::ContinuousIndexType ContinuousIndexType
typedef TOutput CoordRepType
typedef FixedArray< GaussianDerivativeOperatorType,
itkGetStaticConstMacro(ImageDimension2)> 		GaussianDerivativeOperatorArrayType
typedef itk::GaussianDerivativeOperator<
TOutput, itkGetStaticConstMacro(ImageDimension2)> 		GaussianDerivativeOperatorType
typedef Superclass::IndexType IndexType
typedef InputImageType::ConstPointer InputImageConstPointer
typedef Superclass::InputImageType InputImageType
typedef Superclass::InputPixelType InputPixelType
typedef TInput InputType
enum  InterpolationModeType {
  NearestNeighbourInterpolation,
  LinearInterpolation
}
typedef Neighborhood< TOutput,
itkGetStaticConstMacro(ImageDimension2)> 		KernelType
typedef OperatorImageFunctionType::Pointer OperatorImageFunctionPointer
typedef NeighborhoodOperatorImageFunction<
InputImageType, TOutput > 		OperatorImageFunctionType
typedef Superclass::OutputType OutputType
typedef SmartPointer< Self > Pointer
typedef Superclass::PointType PointType
typedef DiscreteGaussianDerivativeImageFunction Self
typedef ImageFunction< TInputImage,
TOutput, TOutput > 		Superclass
typedef FixedArray< unsigned
int, itkGetStaticConstMacro(ImageDimension2)> 		OrderArrayType
typedef FixedArray< double,
itkGetStaticConstMacro(ImageDimension2)> 		VarianceArrayType

Public Member Functions

void ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
void ConvertPointToContinousIndex (const PointType &point, ContinuousIndexType &cindex) const
void ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const
void ConvertPointToNearestIndex (const PointType &point, IndexType &index) const
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual OutputType Evaluate (const InputType &input) const=0
virtual TOutput Evaluate (const PointType &point) const=0
virtual OutputType Evaluate (const PointType &point) const
virtual TOutput EvaluateAtContinuousIndex (const ContinuousIndexType &index) const=0
virtual OutputType EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual TOutput EvaluateAtIndex (const IndexType &index) const=0
virtual OutputType EvaluateAtIndex (const IndexType &index) const
Command * GetCommand (unsigned long tag)
bool GetDebug () const
virtual const ContinuousIndexType & GetEndContinuousIndex ()
virtual const IndexType & GetEndIndex ()
const InputImageType * GetInputImage () const
const MetaDataDictionary & GetMetaDataDictionary (void) const
MetaDataDictionary & GetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual int GetReferenceCount () const
virtual const ContinuousIndexType & GetStartContinuousIndex ()
virtual const IndexType & GetStartIndex ()
bool HasObserver (const EventObject &event) const
virtual void Initialize ()
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
virtual bool IsInsideBuffer (const PointType &point) const
virtual bool IsInsideBuffer (const ContinuousIndexType &index) const
virtual bool IsInsideBuffer (const IndexType &index) const
 itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
 itkStaticConstMacro (ImageDimension2, unsigned int, InputImageType::ImageDimension)
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
void SetDebug (bool debugFlag) const
virtual void SetInputImage (const InputImageType *ptr)
virtual void SetInputImage (const InputImageType *ptr)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetReferenceCount (int)
void SetSigma (const double sigma)
virtual void UnRegister () const
unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
virtual InterpolationModeType GetInterpolationMode ()
virtual void SetInterpolationMode (InterpolationModeType _arg)
virtual double GetMaximumError ()
virtual void SetMaximumError (double _arg)
virtual unsigned int GetMaximumKernelWidth ()
virtual void SetMaximumKernelWidth (unsigned int _arg)
virtual bool GetNormalizeAcrossScale ()
virtual void NormalizeAcrossScaleOff ()
virtual void NormalizeAcrossScaleOn ()
virtual void SetNormalizeAcrossScale (bool _arg)
virtual const OrderArrayType GetOrder ()
virtual void SetOrder (unsigned int data[])
virtual void SetOrder (OrderArrayType _arg)
virtual bool GetUseImageSpacing ()
virtual void SetUseImageSpacing (bool _arg)
virtual void UseImageSpacingOff ()
virtual void UseImageSpacingOn ()
virtual const VarianceArrayType GetVariance ()
virtual void SetVariance (double data[])
virtual void SetVariance (VarianceArrayType _arg)
virtual void SetOrder (unsigned int order)
virtual void SetVariance (double variance)

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

 DiscreteGaussianDerivativeImageFunction (const Self &)
 DiscreteGaussianDerivativeImageFunction ()
void operator= (const Self &)
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
void RecomputeGaussianKernel ()
 ~DiscreteGaussianDerivativeImageFunction ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

ContinuousIndexType m_EndContinuousIndex
IndexType m_EndIndex
InputImageConstPointer m_Image
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
ContinuousIndexType m_StartContinuousIndex
IndexType m_StartIndex

Member Typedef Documentation

template<class TInputImage, class TOutput = double>
typedef SmartPointer<const Self> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::ConstPointer

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 62 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef Superclass::ContinuousIndexType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::ContinuousIndexType

ContinuousIndex Type.

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 74 of file itkDiscreteGaussianDerivativeImageFunction.h.

typedef TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::CoordRepType [inherited]

CoordRepType typedef support.

Definition at line 94 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef FixedArray<GaussianDerivativeOperatorType, itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorArrayType

Array to store gaussian derivative operators one for each dimension.

Definition at line 94 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef itk::GaussianDerivativeOperator<TOutput, itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorType

Definition at line 90 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef Superclass::IndexType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::IndexType

Index Type.

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 73 of file itkDiscreteGaussianDerivativeImageFunction.h.

typedef InputImageType::ConstPointer itk::ImageFunction< TInputImage , TOutput , TOutput >::InputImageConstPointer [inherited]

InputImagePointer typedef support

Definition at line 88 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef Superclass::InputImageType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::InputImageType

Image dependent types.

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 68 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef Superclass::InputPixelType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::InputPixelType

InputPixel typedef support

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 72 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInput, class TOutput>
typedef TInput itk::FunctionBase< TInput, TOutput >::InputType [inherited]

Input type

Reimplemented in itk::BinaryThresholdSpatialFunction< TFunction >, itk::ConicShellInteriorExteriorSpatialFunction< VDimension, TInput >, itk::EllipsoidInteriorExteriorSpatialFunction< VDimension, TInput >, itk::FiniteCylinderSpatialFunction< VDimension, TInput >, itk::FrustumSpatialFunction< VImageDimension, TInput >, itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >, itk::GaussianSpatialFunction< TOutput, VImageDimension, TInput >, itk::InteriorExteriorSpatialFunction< VDimension, TInput >, itk::PCAShapeSignedDistanceFunction< TCoordRep, VSpaceDimension, TImage >, itk::ShapeSignedDistanceFunction< TCoordRep, VSpaceDimension >, itk::SpatialFunction< TOutput, VImageDimension, TInput >, itk::SphereSignedDistanceFunction< TCoordRep, VSpaceDimension >, itk::SphereSpatialFunction< VImageDimension, TInput >, itk::SymmetricEllipsoidInteriorExteriorSpatialFunction< VDimension, TInput >, itk::TorusInteriorExteriorSpatialFunction< VDimension, TInput >, itk::Statistics::TransferFunctionBase< ScalarType >, itk::QuadEdgeMeshBoundaryEdgesMeshFunction< TMesh >, itk::InteriorExteriorSpatialFunction< VImageDimension, TInput >, itk::SpatialFunction< double, VSpaceDimension, itk::Point< TCoordRep, VSpaceDimension > >, itk::SpatialFunction< bool,::itk::GetImageDimension< TFunction >::ImageDimension, TFunction::InputType >, and itk::SpatialFunction< bool, VDimension, TInput >.

Definition at line 54 of file itkFunctionBase.h.

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

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

Definition at line 139 of file itkLightObject.h.

template<class TInputImage, class TOutput = double>
typedef Neighborhood<TOutput,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::KernelType

Precomputed N-dimensional derivative kernel.

Definition at line 97 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef OperatorImageFunctionType::Pointer itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer

Definition at line 102 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef NeighborhoodOperatorImageFunction<InputImageType, TOutput> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Image function that performs convolution with the neighborhood operator.

Definition at line 101 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef FixedArray<unsigned int,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OrderArrayType

Definition at line 86 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef Superclass::OutputType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OutputType

Output type.

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 82 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef SmartPointer<Self> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Pointer

Smart pointer typedef support.

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 61 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef Superclass::PointType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::PointType

Point Type.

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 75 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef DiscreteGaussianDerivativeImageFunction itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Self

Standard "Self" typedef

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 55 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef ImageFunction<TInputImage, TOutput, TOutput> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 58 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
typedef FixedArray<double,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::VarianceArrayType

Arrays for native types.

Definition at line 85 of file itkDiscreteGaussianDerivativeImageFunction.h.

Member Enumeration Documentation

template<class TInputImage, class TOutput = double>
enum itk::DiscreteGaussianDerivativeImageFunction::InterpolationModeType

Interpolation modes.

Enumerator:
NearestNeighbourInterpolation 
LinearInterpolation 

Definition at line 105 of file itkDiscreteGaussianDerivativeImageFunction.h.

Constructor & Destructor Documentation

template<class TInputImage, class TOutput = double>
itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::DiscreteGaussianDerivativeImageFunction (  )  [protected]

template<class TInputImage, class TOutput = double>
itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::DiscreteGaussianDerivativeImageFunction ( const Self &   )  [inline, protected]

Definition at line 209 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::~DiscreteGaussianDerivativeImageFunction (  )  [inline, protected]

Definition at line 211 of file itkDiscreteGaussianDerivativeImageFunction.h.

Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject &  event,
Command *   
) const [inherited]

unsigned long itk::Object::AddObserver ( const EventObject &  event,
Command *   
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

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

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

void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertContinuousIndexToNearestIndex ( const ContinuousIndexType &  cindex,
IndexType &  index 
) const [inline, inherited]

Convert continuous index to nearest index.

Definition at line 210 of file itkImageFunction.h.

void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertPointToContinousIndex ( const PointType &  point,
ContinuousIndexType &  cindex 
) const [inline, inherited]

Convert point to continuous index

Definition at line 191 of file itkImageFunction.h.

References itkWarningMacro.

void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertPointToContinuousIndex ( const PointType &  point,
ContinuousIndexType &  cindex 
) const [inline, inherited]

Convert point to continuous index

Definition at line 203 of file itkImageFunction.h.

void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertPointToNearestIndex ( const PointType &  point,
IndexType &  index 
) const [inline, inherited]

Convert point to nearest index.

Definition at line 181 of file itkImageFunction.h.

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

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::LightObject.

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

Turn debugging output off.

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

Turn debugging output on.

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

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TInput, class TOutput>
virtual OutputType itk::FunctionBase< TInput, TOutput >::Evaluate ( const InputType &  input  )  const [pure virtual, inherited]

Evaluate at the specified input position

Implemented in itk::BinaryThresholdSpatialFunction< TFunction >, itk::BSplineDerivativeKernelFunction< VSplineOrder >, itk::BSplineKernelFunction< VSplineOrder >, itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >, itk::GaussianKernelFunction, itk::GaussianSpatialFunction< TOutput, VImageDimension, TInput >, itk::KernelFunction, itk::Statistics::ErrorFunctionBase< TMeasurementVector, TTargetVector >, itk::Statistics::GaussianRadialBasisFunction< ScalarType >, itk::Statistics::GaussianTransferFunction< ScalarType >, itk::Statistics::HardLimitTransferFunction< ScalarType >, itk::Statistics::IdentityTransferFunction< ScalarType >, itk::Statistics::InputFunctionBase< TMeasurementVector, TTargetVector >, itk::Statistics::LogSigmoidTransferFunction< ScalarType >, itk::Statistics::MeanSquaredErrorFunction< TMeasurementVector, ScalarType >, itk::Statistics::MultiquadricRadialBasisFunction< ScalarType >, itk::Statistics::NNetDistanceMetricBase< TMeasurementVector >, itk::Statistics::ProductInputFunction< TMeasurementVector, ScalarType >, itk::Statistics::RadialBasisFunctionBase< ScalarType >, itk::Statistics::SigmoidTransferFunction< ScalarType >, itk::Statistics::SignedHardLimitTransferFunction< ScalarType >, itk::Statistics::SquaredDifferenceErrorFunction< TMeasurementVector, ScalarType >, itk::Statistics::SumInputFunction< TMeasurementVector, ScalarType >, itk::Statistics::SymmetricSigmoidTransferFunction< ScalarType >, itk::Statistics::TanHTransferFunction< ScalarType >, itk::Statistics::TanSigmoidTransferFunction< ScalarType >, itk::Statistics::TransferFunctionBase< ScalarType >, itk::Statistics::DensityFunction< TMeasurementVector >, itk::Statistics::DistanceMetric< TVector >, itk::Statistics::DistanceToCentroidMembershipFunction< TVector >, itk::Statistics::EuclideanDistance< TVector >, itk::Statistics::GaussianDensityFunction< TMeasurementVector >, itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >, itk::Statistics::MembershipFunctionBase< TVector >, itk::CoxDeBoorBSplineKernelFunction< VSplineOrder >, itk::SpatialFunction< double, VSpaceDimension, itk::Point< TCoordRep, VSpaceDimension > >, itk::Statistics::ErrorFunctionBase< TMeasurementVector, ScalarType >, itk::Statistics::InputFunctionBase< TMeasurementVector, ScalarType >, itk::Statistics::DistanceMetric< itk::Array< double > >, itk::Statistics::EuclideanDistance< itk::Array< double > >, itk::Statistics::MembershipFunctionBase< itk::Array< double > >, and itk::Statistics::MembershipFunctionBase< TMeasurementVector >.

virtual TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::Evaluate ( const PointType &  point  )  const [pure virtual, inherited]

Evaluate the function at specified Point position. Subclasses must provide this method.

template<class TInputImage, class TOutput = double>
virtual OutputType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Evaluate ( const PointType &  point  )  const [virtual]

Evalutate the in the given dimension at specified point

virtual TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::EvaluateAtContinuousIndex ( const ContinuousIndexType &  index  )  const [pure virtual, inherited]

Evaluate the function at specified ContinuousIndex position. Subclasses must provide this method.

template<class TInputImage, class TOutput = double>
virtual OutputType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex ( const ContinuousIndexType &  index  )  const [virtual]

Evaluate the function at specified ContinousIndex position.

virtual TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::EvaluateAtIndex ( const IndexType &  index  )  const [pure virtual, inherited]

Evaluate the function at specified Index position. Subclasses must provide this method.

template<class TInputImage, class TOutput = double>
virtual OutputType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtIndex ( const IndexType &  index  )  const [virtual]

Evaluate the function at specified Index position

Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

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

Get the value of the debug flag.

virtual const ContinuousIndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetEndContinuousIndex (  )  [virtual, inherited]

virtual const IndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetEndIndex (  )  [virtual, inherited]

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

const InputImageType* itk::ImageFunction< TInputImage , TOutput , TOutput >::GetInputImage (  )  const [inline, inherited]

Get the input image.

Definition at line 113 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double>
virtual InterpolationModeType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetInterpolationMode (  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual double itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetMaximumError (  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual unsigned int itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetMaximumKernelWidth (  )  [virtual]

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]

Returns:
A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]

Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

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

template<class TInputImage, class TOutput = double>
virtual const char* itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

template<class TInputImage, class TOutput = double>
virtual bool itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetNormalizeAcrossScale (  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual const OrderArrayType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetOrder (  )  [virtual]

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

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const ContinuousIndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetStartContinuousIndex (  )  [virtual, inherited]

virtual const IndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetStartIndex (  )  [virtual, inherited]

template<class TInputImage, class TOutput = double>
virtual bool itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetUseImageSpacing (  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual const VarianceArrayType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetVariance (  )  [virtual]

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

Return true if an observer is registered for this event.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Initialize ( void   )  [inline, virtual]

Initialize the Gaussian kernel. Call this method before evaluating the function. This method MUST be called after any changes to function parameters.

Definition at line 204 of file itkDiscreteGaussianDerivativeImageFunction.h.

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

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

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

Call Execute on all the Commands observing this event id.

virtual bool itk::ImageFunction< TInputImage , TOutput , TOutput >::IsInsideBuffer ( const PointType &  point  )  const [inline, virtual, inherited]

Check if a point is inside the image buffer.

Warning:
For efficiency, no validity checking of the input image pointer is done.

Definition at line 172 of file itkImageFunction.h.

virtual bool itk::ImageFunction< TInputImage , TOutput , TOutput >::IsInsideBuffer ( const ContinuousIndexType &  index  )  const [inline, virtual, inherited]

Check if a continuous index is inside the image buffer.

Warning:
For efficiency, no validity checking of the input image is done.

Definition at line 152 of file itkImageFunction.h.

virtual bool itk::ImageFunction< TInputImage , TOutput , TOutput >::IsInsideBuffer ( const IndexType &  index  )  const [inline, virtual, inherited]

Check if an index is inside the image buffer.

Warning:
For efficiency, no validity checking of the input image is done.

Definition at line 132 of file itkImageFunction.h.

itk::ImageFunction< TInputImage , TOutput , TOutput >::itkStaticConstMacro ( ImageDimension  ,
unsigned  int,
TInputImage ::ImageDimension   
) [inherited]

Dimension underlying input image.

template<class TInputImage, class TOutput = double>
itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::itkStaticConstMacro ( ImageDimension2  ,
unsigned  int,
InputImageType::ImageDimension   
)

Dimension of the underlying image.

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

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

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, itk::RankImageFilter< TInputImage, TInputImage, itk::FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage, class TOutput = double>
static Pointer itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::NormalizeAcrossScaleOff (  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::NormalizeAcrossScaleOn (  )  [virtual]

template<class TInputImage, class TOutput = double>
void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::operator= ( const Self &   )  [inline, protected]

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

Definition at line 213 of file itkDiscreteGaussianDerivativeImageFunction.h.

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

Cause the object to print itself out.

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

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

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]

template<class TInputImage, class TOutput = double>
void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

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

Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.

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

template<class TInputImage, class TOutput = double>
void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel (  )  [protected]

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

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

Reimplemented from itk::LightObject.

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

Remove all observers .

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

Remove the observer with this tag value.

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

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

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

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

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

virtual void itk::ImageFunction< TInputImage , TOutput , TOutput >::SetInputImage ( const InputImageType *  ptr  )  [virtual, inherited]

Set the input image.

Warning:
this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetInputImage ( const InputImageType *  ptr  )  [virtual]

Set the input image.

Warning:
this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetInterpolationMode ( InterpolationModeType  _arg  )  [virtual]

Set/Get the interpolation mode.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetMaximumError ( double  _arg  )  [virtual]

Set/Get the desired maximum error of the gaussian approximation. Maximum error is the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. The value is clamped between 0.00001 and 0.99999.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetMaximumKernelWidth ( unsigned int  _arg  )  [virtual]

Set/Get a limit for growth of the kernel. Small maximum error values with large variances will yield very large kernel sizes. This value can be used to truncate a kernel in such instances. A warning will be given on truncation of the kernel.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary &  rhs  )  [inherited]

Returns:
Set the MetaDataDictionary

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetNormalizeAcrossScale ( bool  _arg  )  [virtual]

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetOrder ( unsigned int  order  )  [inline, virtual]

Convenience method for setting the order for all dimensions.

Definition at line 163 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetOrder ( unsigned int  data[]  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetOrder ( OrderArrayType  _arg  )  [virtual]

Set/Get the derivative order for an individual dimension.

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

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TInputImage, class TOutput = double>
void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma ( const double  sigma  )  [inline]

Convenience method for setting the variance through the standard deviation.

Definition at line 141 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetUseImageSpacing ( bool  _arg  )  [virtual]

Set/Get the flag for using image spacing when calculating derivatives.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetVariance ( double  variance  )  [inline, virtual]

Convenience method for setting the variance for all dimensions.

Definition at line 131 of file itkDiscreteGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetVariance ( double  data[]  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetVariance ( VarianceArrayType  _arg  )  [virtual]

Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::UseImageSpacingOff (  )  [virtual]

template<class TInputImage, class TOutput = double>
virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::UseImageSpacingOn (  )  [virtual]

Member Data Documentation

ContinuousIndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_EndContinuousIndex [protected, inherited]

Definition at line 234 of file itkImageFunction.h.

IndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_EndIndex [protected, inherited]

Definition at line 232 of file itkImageFunction.h.

InputImageConstPointer itk::ImageFunction< TInputImage , TOutput , TOutput >::m_Image [protected, inherited]

Const pointer to the input image.

Definition at line 228 of file itkImageFunction.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

ContinuousIndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_StartContinuousIndex [protected, inherited]

Definition at line 233 of file itkImageFunction.h.

IndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_StartIndex [protected, inherited]

Cache some values for testing if indices are inside buffered region.

Definition at line 231 of file itkImageFunction.h.

The documentation for this class was generated from the following file:
Generated at Thu Nov 6 04:17:07 2008 for ITK by doxygen 1.5.1 written by Dimitri van Heesch, © 1997-2000