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

Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type. More...

#include <itkGaussianBlurImageFunction.h>

Inheritance diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:
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Collaboration diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:
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List of all members.

Public Types

typedef
CastImageFilterType::Pointer 
CastImageFilterPointer
typedef itk::CastImageFilter
< InputImageType,
InternalImageType
CastImageFilterType
typedef SmartPointer< const SelfConstPointer
typedef
Superclass::ContinuousIndexType 
ContinuousIndexType
typedef float CoordRepType
typedef itk::FixedArray
< double,
itkGetStaticConstMacro(ImageDimension) > 
ErrorArrayType
typedef itk::FixedArray
< double,
itkGetStaticConstMacro(ImageDimension) > 
ExtentArrayType
typedef
GaussianFunctionType::Pointer 
GaussianFunctionPointer
typedef
GaussianSpatialFunction
< TOutput, 1 > 
GaussianFunctionType
typedef GaussianOperator
< TOutput,
itkGetStaticConstMacro(ImageDimension)> 
GaussianOperatorType
typedef Superclass::IndexType IndexType
typedef
InputImageType::IndexValueType 
IndexValueType
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef TInputImage InputImageType
typedef InputImageType::PixelType InputPixelType
typedef Point< float,::itk::GetImageDimension
< TInputImage >
::ImageDimension
InputType
typedef InternalImageType::Pointer InternalImagePointer
typedef itk::Image< double,
itkGetStaticConstMacro(ImageDimension)> 
InternalImageType
typedef Neighborhood< TOutput,
itkGetStaticConstMacro(ImageDimension)> 
NeighborhoodType
typedef FixedArray
< NeighborhoodType,
itkGetStaticConstMacro(ImageDimension)> 
OperatorArrayType
typedef
OperatorImageFunctionType::Pointer 
OperatorImageFunctionPointer
typedef
NeighborhoodOperatorImageFunction
< InternalImageType, TOutput > 
OperatorImageFunctionType
typedef TOutput OutputType
typedef SmartPointer< SelfPointer
typedef Superclass::PointType PointType
typedef GaussianBlurImageFunction Self
typedef itk::FixedArray
< double,
itkGetStaticConstMacro(ImageDimension) > 
SigmaArrayType
typedef ImageFunction
< TInputImage, TOutput > 
Superclass

Public Member Functions

void ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
void ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual TOutput Evaluate (const PointType &point) const
virtual TOutput EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual TOutput EvaluateAtIndex (const IndexType &index) const =0
virtual TOutput EvaluateAtIndex (const IndexType &index) const
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual const ContinuousIndexTypeGetEndContinuousIndex ()
virtual const IndexTypeGetEndIndex ()
const InputImageTypeGetInputImage () const
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual int GetReferenceCount () const
virtual const ContinuousIndexTypeGetStartContinuousIndex ()
virtual const IndexTypeGetStartIndex ()
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
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)
virtual void UnRegister () const

void SetSigma (const double *sigma)
void SetSigma (const float *sigma)
void SetSigma (const double sigma)
virtual void SetSigma (SigmaArrayType _arg)
virtual const SigmaArrayTypeGetSigma ()

virtual void SetExtent (ExtentArrayType _arg)
virtual const ExtentArrayTypeGetExtent ()
void SetExtent (const double *extent)
void SetExtent (const double extent)

virtual void SetMaximumError (ErrorArrayType _arg)
virtual const ErrorArrayTypeGetMaximumError ()

virtual void SetMaximumKernelWidth (int _arg)
virtual int GetMaximumKernelWidth () const

virtual void SetUseImageSpacing (bool _arg)
virtual bool GetUseImageSpacing () const
virtual void UseImageSpacingOn ()
virtual void UseImageSpacingOff ()

virtual bool IsInsideBuffer (const IndexType &index) const

virtual bool IsInsideBuffer (const ContinuousIndexType &index) const

virtual bool IsInsideBuffer (const PointType &point) const

void ConvertPointToNearestIndex (const PointType &point, IndexType &index) const

void ConvertPointToContinousIndex (const PointType &point, ContinuousIndexType &cindex) const

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Static Public Attributes

static const unsigned int ImageDimension = InputImageType::ImageDimension

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

 GaussianBlurImageFunction ()
 GaussianBlurImageFunction (const Self &)
void operator= (const Self &)
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
void RecomputeContinuousGaussianKernel (const double *offset) const
void RecomputeGaussianKernel ()
 ~GaussianBlurImageFunction ()

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

Detailed Description

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

Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type.

See also:
NeighborhoodOperator
ImageFunction

Definition at line 39 of file itkGaussianBlurImageFunction.h.


Member Typedef Documentation

template<class TInputImage , class TOutput = double>
typedef CastImageFilterType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::CastImageFilterPointer

Definition at line 84 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef itk::CastImageFilter<InputImageType,InternalImageType> itk::GaussianBlurImageFunction< TInputImage, TOutput >::CastImageFilterType

Definition at line 83 of file itkGaussianBlurImageFunction.h.

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

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

Definition at line 52 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef Superclass::ContinuousIndexType itk::GaussianBlurImageFunction< TInputImage, TOutput >::ContinuousIndexType
typedef float itk::ImageFunction< TInputImage, TOutput, float >::CoordRepType [inherited]

CoordRepType typedef support.

Definition at line 94 of file itkImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::ErrorArrayType

Definition at line 86 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::ExtentArrayType

Definition at line 87 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef GaussianFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer

Definition at line 76 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef GaussianSpatialFunction<TOutput,1> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionType

Definition at line 75 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef GaussianOperator< TOutput, itkGetStaticConstMacro(ImageDimension)> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianOperatorType

Definition at line 71 of file itkGaussianBlurImageFunction.h.

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

Index Type.

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

Definition at line 63 of file itkGaussianBlurImageFunction.h.

typedef InputImageType::IndexValueType itk::ImageFunction< TInputImage, TOutput, float >::IndexValueType [inherited]

Definition at line 98 of file itkImageFunction.h.

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

InputImagePointer typedef support

Definition at line 88 of file itkImageFunction.h.

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

InputImageType typedef support.

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

Definition at line 58 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef InputImageType::PixelType itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelType

InputPixel typedef support

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

Definition at line 62 of file itkGaussianBlurImageFunction.h.

typedef Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::InputType [inherited]

Input type

Definition at line 54 of file itkFunctionBase.h.

template<class TInputImage , class TOutput = double>
typedef InternalImageType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImagePointer

Definition at line 78 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef itk::Image<double,itkGetStaticConstMacro(ImageDimension)> itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImageType

Definition at line 77 of file itkGaussianBlurImageFunction.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(ImageDimension)> itk::GaussianBlurImageFunction< TInputImage, TOutput >::NeighborhoodType

Definition at line 72 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef FixedArray<NeighborhoodType,itkGetStaticConstMacro(ImageDimension)> itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType

Definition at line 73 of file itkGaussianBlurImageFunction.h.

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

Definition at line 81 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef NeighborhoodOperatorImageFunction< InternalImageType, TOutput> itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Definition at line 80 of file itkGaussianBlurImageFunction.h.

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

OutputType typedef support.

Reimplemented from itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 91 of file itkImageFunction.h.

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

Smart pointer typedef support.

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

Definition at line 51 of file itkGaussianBlurImageFunction.h.

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

Point typedef support.

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

Definition at line 91 of file itkGaussianBlurImageFunction.h.

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

Standard "Self" typedef

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

Definition at line 45 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::SigmaArrayType

Definition at line 88 of file itkGaussianBlurImageFunction.h.

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

Standard "Superclass" typedef

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

Definition at line 48 of file itkGaussianBlurImageFunction.h.


Constructor & Destructor Documentation

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

Definition at line 160 of file itkGaussianBlurImageFunction.h.

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

Definition at line 162 of file itkGaussianBlurImageFunction.h.


Member Function Documentation

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

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [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, float >::ConvertContinuousIndexToNearestIndex ( const ContinuousIndexType cindex,
IndexType index 
) const [inline, inherited]

Convert continuous index to nearest index.

Definition at line 219 of file itkImageFunction.h.

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

Convert point to continuous index

Definition at line 200 of file itkImageFunction.h.

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

Convert point to continuous index

Definition at line 212 of file itkImageFunction.h.

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

Convert point to nearest index.

Definition at line 190 of file itkImageFunction.h.

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
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 TInputImage , class TOutput = double>
virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::Evaluate ( const PointType point  )  const [virtual]

Evalutate the in the given dimension at specified point

Implements itk::ImageFunction< TInputImage, TOutput >.

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

Evaluate the function at specified ContinousIndex position.

Implements itk::ImageFunction< TInputImage, TOutput >.

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

Evaluate the function at specified Index position

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

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

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, float >::GetEndContinuousIndex (  )  [virtual, inherited]
virtual const IndexType& itk::ImageFunction< TInputImage, TOutput, float >::GetEndIndex (  )  [virtual, inherited]
template<class TInputImage , class TOutput = double>
virtual const ExtentArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent (  )  [virtual]

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

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

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

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

Get the input image.

Definition at line 114 of file itkImageFunction.h.

template<class TInputImage , class TOutput = double>
virtual const ErrorArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumError (  )  [virtual]

Set/Get the maximum error acceptable for the approximation of the Gaussian kernel with the GaussianOperator.

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

Set/GetMaximumKernelWidth() This value is used by the underling GaussianOperator for computing the number of coefficients to be used in the Gaussian kernel

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
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, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, 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::GaussianBlurImageFunction< TInputImage, TOutput >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

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

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

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TInputImage , class TOutput = double>
virtual const SigmaArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetSigma (  )  [virtual]

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

virtual const ContinuousIndexType& itk::ImageFunction< TInputImage, TOutput, float >::GetStartContinuousIndex (  )  [virtual, inherited]
virtual const IndexType& itk::ImageFunction< TInputImage, TOutput, float >::GetStartIndex (  )  [virtual, inherited]
template<class TInputImage , class TOutput = double>
virtual bool itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetUseImageSpacing (  )  const [virtual]

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

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

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.

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

Call Execute on all the Commands observing this event id.

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.

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

Check if an index is inside the image buffer. If ITK_USE_CENTERED_PIXEL_COORDINATES_CONSISTENTLY is on, we take into account the fact that each voxel has its center at the integer coordinate and extends half way to the next integer coordinate.

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

Definition at line 137 of file itkImageFunction.h.

virtual bool itk::ImageFunction< TInputImage, TOutput, float >::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 157 of file itkImageFunction.h.

virtual bool itk::ImageFunction< TInputImage, TOutput, float >::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 181 of file itkImageFunction.h.

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, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), 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::GaussianBlurImageFunction< TInputImage, TOutput >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

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

Definition at line 164 of file itkGaussianBlurImageFunction.h.

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

Cause the object to print itself out.

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

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

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.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< 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 >.

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

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.

template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel ( const double *  offset  )  const [protected]
template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< 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.

template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent ( const double  extent  ) 

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent ( const double *  extent  ) 

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

template<class TInputImage , class TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent ( ExtentArrayType  _arg  )  [virtual]

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

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().

template<class TInputImage , class TOutput = double>
virtual void itk::GaussianBlurImageFunction< 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.
virtual void itk::ImageFunction< TInputImage, TOutput, float >::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::GaussianBlurImageFunction< TInputImage, TOutput >::SetMaximumError ( ErrorArrayType  _arg  )  [virtual]

Set/Get the maximum error acceptable for the approximation of the Gaussian kernel with the GaussianOperator.

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

Set/GetMaximumKernelWidth() This value is used by the underling GaussianOperator for computing the number of coefficients to be used in the Gaussian kernel

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
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>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( SigmaArrayType  _arg  )  [virtual]

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( const double  sigma  ) 

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( const float *  sigma  ) 

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage , class TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( const double *  sigma  ) 

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

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

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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::GaussianBlurImageFunction< TInputImage, TOutput >::UseImageSpacingOff (  )  [virtual]

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.


Member Data Documentation

template<class TInputImage , class TOutput = double>
const unsigned int itk::GaussianBlurImageFunction< TInputImage, TOutput >::ImageDimension = InputImageType::ImageDimension [static]

Dimension of the underlying image.

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

Definition at line 68 of file itkGaussianBlurImageFunction.h.

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

Definition at line 243 of file itkImageFunction.h.

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

Definition at line 241 of file itkImageFunction.h.

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

Const pointer to the input image.

Definition at line 237 of file itkImageFunction.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

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

Definition at line 242 of file itkImageFunction.h.

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

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

Definition at line 240 of file itkImageFunction.h.


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

Generated at Mon Jul 12 2010 22:36:45 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000