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

#include <itkGaussianDerivativeImageFunction.h>

Inheritance diagram for itk::GaussianDerivativeImageFunction< TInputImage, TOutput >:

Collaboration diagram for itk::GaussianDerivativeImageFunction< TInputImage, TOutput >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ContinuousIndex < TOutput, itkGetStaticConstMacro(ImageDimension2) >	ContinuousIndexType
typedef GaussianDerivativeFunctionType::Pointer	GaussianDerivativeFunctionPointer
typedef GaussianDerivativeSpatialFunction < TOutput, 1 >	GaussianDerivativeFunctionType
typedef GaussianFunctionType::Pointer	GaussianFunctionPointer
typedef GaussianSpatialFunction < TOutput, 1 >	GaussianFunctionType
typedef InputImageType::IndexType	IndexType
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef Neighborhood < InputPixelType, itkGetStaticConstMacro(ImageDimension2) >	NeighborhoodType
typedef FixedArray < OperatorNeighborhoodType, 2 *itkGetStaticConstMacro(ImageDimension2) >	OperatorArrayType
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef NeighborhoodOperatorImageFunction < InputImageType, TOutput >	OperatorImageFunctionType
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) >	OperatorNeighborhoodType
typedef Superclass::OutputType	OutputType
typedef SmartPointer< Self >	Pointer
typedef Point< TOutput, itkGetStaticConstMacro(ImageDimension2) >	PointType
typedef GaussianDerivativeImageFunction	Self
typedef ImageFunction < TInputImage, Vector< TOutput,::itk::GetImageDimension < TInputImage > ::ImageDimension >, TOutput >	Superclass
typedef Vector< TOutput, itkGetStaticConstMacro(ImageDimension2) >	VectorType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual OutputType	Evaluate (const PointType &point) const
virtual OutputType	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual OutputType	EvaluateAtIndex (const IndexType &index) const
const double *	GetExtent () const
virtual const char *	GetNameOfClass () const
const double *	GetSigma () const
void	SetExtent (const double *extent)
void	SetExtent (const double extent)
virtual void	SetInputImage (const InputImageType *ptr)
void	SetSigma (const double *sigma)
void	SetSigma (const double sigma)
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension2 = InputImageType::ImageDimension
Protected Member Functions
	GaussianDerivativeImageFunction ()
	GaussianDerivativeImageFunction (const Self &)
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
void	RecomputeContinuousGaussianKernel (const double *offset) const
void	RecomputeGaussianKernel ()
	~GaussianDerivativeImageFunction ()
Private Attributes
OperatorArrayType	m_ContinuousOperatorArray
double	m_Extent [ImageDimension2]
GaussianDerivativeFunctionPointer	m_GaussianDerivativeFunction
GaussianFunctionPointer	m_GaussianFunction
OperatorArrayType	m_OperatorArray
OperatorImageFunctionPointer	m_OperatorImageFunction
double	m_Sigma [ImageDimension2]
bool	m_UseImageSpacing

---

Detailed Description

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

Compute the gaussian derivatives of an 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 38 of file itkGaussianDerivativeImageFunction.h.

---

Member Typedef Documentation

template<class TInputImage , class TOutput = double>

typedef SmartPointer< const Self > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ConstPointer

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 55 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef ContinuousIndex< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ContinuousIndexType

ContinuousIndex Type.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 73 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianDerivativeFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionPointer

Definition at line 86 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianDerivativeSpatialFunction< TOutput, 1 > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionType

Definition at line 85 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionPointer

Definition at line 89 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianSpatialFunction< TOutput, 1 > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionType

Definition at line 88 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef InputImageType::IndexType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::IndexType

Index Type.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 66 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef TInputImage itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputImageType

InputImageType typedef support.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 61 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef InputImageType::PixelType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputPixelType

InputPixel typedef support

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 65 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Neighborhood< InputPixelType, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::NeighborhoodType

Definition at line 75 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef FixedArray< OperatorNeighborhoodType, 2 *itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorArrayType

Definition at line 80 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef OperatorImageFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer

Definition at line 83 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef NeighborhoodOperatorImageFunction< InputImageType, TOutput > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Definition at line 82 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorNeighborhoodType

Definition at line 76 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OutputType

OutputType typedef support.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 79 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef SmartPointer< Self > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Pointer

Smart pointer typedef support.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 54 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Point< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::PointType

Point typedef support.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 92 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianDerivativeImageFunction itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Self

Standard "Self" typedef

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 46 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef ImageFunction< TInputImage, Vector< TOutput, ::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

Definition at line 51 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Vector< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::VectorType

Definition at line 78 of file itkGaussianDerivativeImageFunction.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TOutput = double>

itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeImageFunction

(

)

[protected]

template<class TInputImage , class TOutput = double>

itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeImageFunction

(

const Self &

)

[protected]

template<class TInputImage , class TOutput = double>

itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::~GaussianDerivativeImageFunction

(

)

[inline, protected]

Definition at line 133 of file itkGaussianDerivativeImageFunction.h.

---

Member Function Documentation

template<class TInputImage , class TOutput = double>

virtual::itk::LightObject::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::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<class TInputImage , class TOutput = double>

virtual OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Evaluate

(

const PointType &

point

)

const [virtual]

Evalutate the in the given dimension at specified point

Implements itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

virtual OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex

(

const ContinuousIndexType &

index

)

const [virtual]

Evaluate the function at specified ContinousIndex position.

template<class TInputImage , class TOutput = double>

virtual OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtIndex

(

const IndexType &

index

)

const [virtual]

Evaluate the function at specified Index position

Implements itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

const double* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetExtent

(

)

const [inline]

Definition at line 121 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

virtual const char* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetNameOfClass

(

)

const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

const double* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetSigma

(

)

const [inline]

Definition at line 114 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

static Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::New

(

)

[static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::operator=

(

const Self &

)

[protected]

Mutex lock to protect modification to the reference count

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< 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, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel

(

const double *

offset

)

const [protected]

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel

(

)

[protected]

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent

(

const double *

extent

)

Set the extent of the kernel

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent

(

const double

extent

)

template<class TInputImage , class TOutput = double>

virtual void itk::GaussianDerivativeImageFunction< 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.

Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma

(

const double *

sigma

)

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). 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.

template<class TInputImage , class TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma

(

const double

sigma

)

---

Member Data Documentation

template<class TInputImage , class TOutput = double>

const unsigned int itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ImageDimension2 = InputImageType::ImageDimension [static]

Dimension of the underlying image.

Definition at line 70 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorArrayType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_ContinuousOperatorArray [mutable, private]

Definition at line 151 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

double itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_Extent[ImageDimension2] [private]

Definition at line 155 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

GaussianDerivativeFunctionPointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_GaussianDerivativeFunction [private]

Neighborhood Image Function

Definition at line 161 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

GaussianFunctionPointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_GaussianFunction [private]

Definition at line 162 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorArrayType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_OperatorArray [mutable, private]

Array of 1D operators. Contains a derivative kernel and a gaussian kernel for each dimension

Definition at line 150 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorImageFunctionPointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_OperatorImageFunction [private]

OperatorImageFunction

Definition at line 154 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

double itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_Sigma[ImageDimension2] [private]

Definition at line 146 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage , class TOutput = double>

bool itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_UseImageSpacing [private]

Flag to indicate whether to use image spacing

Definition at line 158 of file itkGaussianDerivativeImageFunction.h.

---

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

• itkGaussianDerivativeImageFunction.h