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ITK
4.1.0
Insight Segmentation and Registration Toolkit
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ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkGaussianDerivativeSpatialFunction.h>
Inheritance diagram for itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >: Collaboration diagram for itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >:Public Types | |
| typedef FixedArray< double, VImageDimension > | ArrayType |
| typedef SmartPointer< const Self > | ConstPointer |
| typedef Superclass::InputType | InputType |
| typedef Superclass::OutputType | OutputType |
| typedef SmartPointer< Self > | Pointer |
| 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 |
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.
| typedef FixedArray< double, VImageDimension > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::ArrayType |
Type used to store derivatives parameters.
Definition at line 66 of file itkGaussianDerivativeSpatialFunction.h.
| typedef SmartPointer< const Self > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::ConstPointer |
Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.
Definition at line 51 of file itkGaussianDerivativeSpatialFunction.h.
| 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.
| 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.
| typedef SmartPointer< Self > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::Pointer |
Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.
Definition at line 50 of file itkGaussianDerivativeSpatialFunction.h.
| 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.
| typedef SpatialFunction< TOutput, VImageDimension, TInput > itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::Superclass |
Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.
Definition at line 49 of file itkGaussianDerivativeSpatialFunction.h.
| 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.
| itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GaussianDerivativeSpatialFunction | ( | ) | [protected] |
Gets and sets for gaussian parameters
| virtual itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::~GaussianDerivativeSpatialFunction | ( | ) | [protected, virtual] |
Gets and sets for gaussian parameters
| itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GaussianDerivativeSpatialFunction | ( | const Self & | ) | [private] |
| 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.
| 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 >.
| VectorType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::EvaluateVector | ( | const TInput & | position | ) | const |
Evaluate the function at a given position and return a vector
| virtual unsigned int itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetDirection | ( | ) | const [virtual] |
Gets and sets for gaussian parameters
| virtual ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetMean | ( | ) | const [virtual] |
Gets and sets for gaussian parameters
| 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 >.
| virtual bool itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetNormalized | ( | ) | const [virtual] |
Gets and sets for gaussian parameters
| virtual double itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetScale | ( | ) | const [virtual] |
Gets and sets for gaussian parameters
| virtual ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::GetSigma | ( | ) | const [virtual] |
Gets and sets for gaussian parameters
| static Pointer itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::operator= | ( | const Self & | ) | [private] |
Reimplemented from itk::SpatialFunction< TOutput, VImageDimension, TInput >.
| 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 >.
| virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetDirection | ( | unsigned int | _arg | ) | [virtual] |
Gets and sets for gaussian parameters
| virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetMean | ( | ArrayType | _arg | ) | [virtual] |
Gets and sets for gaussian parameters
| virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetNormalized | ( | bool | _arg | ) | [virtual] |
Gets and sets for gaussian parameters
| virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetScale | ( | double | _arg | ) | [virtual] |
Gets and sets for gaussian parameters
| virtual void itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::SetSigma | ( | ArrayType | _arg | ) | [virtual] |
Gets and sets for gaussian parameters
unsigned int itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Direction [mutable, private] |
Current direction
Definition at line 101 of file itkGaussianDerivativeSpatialFunction.h.
ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Mean [private] |
The mean in each direction.
Definition at line 107 of file itkGaussianDerivativeSpatialFunction.h.
bool itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Normalized [private] |
Whether or not to normalize the Gaussian.
Definition at line 113 of file itkGaussianDerivativeSpatialFunction.h.
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.
ArrayType itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput >::m_Sigma [private] |
The standard deviation in each direction.
Definition at line 104 of file itkGaussianDerivativeSpatialFunction.h.
1.7.6.1
