ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Private Member Functions | Private Attributes
itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput > Class Template Reference

#include <itkGaussianDerivativeSpatialFunction.h>

+ Inheritance diagram for itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >:
+ Collaboration diagram for itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >:

List of all members.

Public Types

typedef FixedArray< double,
VImageDimension > 
ArrayType
typedef SmartPointer< const SelfConstPointer
typedef Superclass::InputType InputType
typedef Superclass::OutputType OutputType
typedef SmartPointer< SelfPointer
typedef
GaussianDerivativeSpatialFunction 
Self
typedef SpatialFunction
< TOutput, VImageDimension,
TInput > 
Superclass
typedef Vector< double,
VImageDimension > 
VectorType

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
OutputType Evaluate (const TInput &position) const
VectorType EvaluateVector (const TInput &position) const
virtual const char * GetNameOfClass () const

Static Public Member Functions

static Pointer New ()

Private Member Functions

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

Private Attributes

unsigned int m_Direction
ArrayType m_Mean
bool m_Normalized
double m_Scale
ArrayType m_Sigma
virtual void SetScale (double _arg)
virtual double GetScale () const
virtual void SetNormalized (bool _arg)
virtual bool GetNormalized () const
virtual void SetSigma (ArrayType _arg)
virtual ArrayType GetSigma () const
virtual void SetMean (ArrayType _arg)
virtual ArrayType GetMean () const
virtual void SetDirection (unsigned int _arg)
virtual unsigned int GetDirection () const
 GaussianDerivativeSpatialFunction ()
virtual ~GaussianDerivativeSpatialFunction ()
void PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
class itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >

N-dimensional Gaussian spatial function class.

GaussianDerivativeSpatialFunction implements a standard derivative of Gaussian curve in N-d. m_Normalized determines whether or not the Derivative of the Gaussian is normalized (whether or not the sum over infinite space is 1.0).

m_Scale scales the output of the Gaussian to span a range larger than 0->1, and is often set to the maximum value of the output data type (for instance, 255 for uchars).

Definition at line 44 of file itkGaussianDerivativeSpatialFunction.h.


Member Typedef Documentation

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef FixedArray< double, VImageDimension > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::ArrayType

Type used to store derivatives parameters.

Definition at line 66 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef SmartPointer< const Self > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::ConstPointer
template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef Superclass::InputType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::InputType

Input type for the function.

Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.

Definition at line 57 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef Superclass::OutputType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::OutputType

Output type for the function.

Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.

Definition at line 63 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef SmartPointer< Self > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::Pointer
template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef GaussianDerivativeSpatialFunction itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::Self

Standard class typedefs.

Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.

Definition at line 48 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef SpatialFunction< TOutput, VImageDimension, TInput > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::Superclass
template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
typedef Vector< double, VImageDimension > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::VectorType

Type used to return the derivatives in each direction

Definition at line 69 of file itkGaussianDerivativeSpatialFunction.h.


Constructor & Destructor Documentation

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GaussianDerivativeSpatialFunction ( ) [protected]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::~GaussianDerivativeSpatialFunction ( ) [protected, virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GaussianDerivativeSpatialFunction ( const Self ) [private]

Member Function Documentation

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual::itk::LightObject::Pointer itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::CreateAnother ( void  ) const [virtual]

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

Reimplemented from itk::Object.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
OutputType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::Evaluate ( const TInput &  position) const [virtual]

Evaluate the function at a given position and return the value in the specific direction. SetDirection() should be used to set the direction.

Implements itk::SpatialFunction< TOutput, VImageDimension, TInput >.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
VectorType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::EvaluateVector ( const TInput &  position) const

Evaluate the function at a given position and return a vector

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual unsigned int itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetDirection ( ) const [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetMean ( ) const [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual const char* itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual bool itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetNormalized ( ) const [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual double itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetScale ( ) const [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetSigma ( ) const [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
static Pointer itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::operator= ( const Self ) [private]
template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Gets and sets for gaussian parameters

Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetDirection ( unsigned int  _arg) [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetMean ( ArrayType  _arg) [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetNormalized ( bool  _arg) [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetScale ( double  _arg) [virtual]

Gets and sets for gaussian parameters

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetSigma ( ArrayType  _arg) [virtual]

Gets and sets for gaussian parameters


Member Data Documentation

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
unsigned int itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Direction [mutable, private]

Current direction

Definition at line 101 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Mean [private]

The mean in each direction.

Definition at line 107 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
bool itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Normalized [private]

Whether or not to normalize the Gaussian.

Definition at line 113 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
double itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Scale [private]

A scale factor multiplied by the true value of the Gaussian.

Definition at line 110 of file itkGaussianDerivativeSpatialFunction.h.

template<typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point< double, VImageDimension >>
ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Sigma [private]

The standard deviation in each direction.

Definition at line 104 of file itkGaussianDerivativeSpatialFunction.h.


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