ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Types | Protected Member Functions | Static Protected Member Functions | Private Member Functions | Private Attributes
itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator > Class Template Reference

#include <itkGaussianDerivativeOperator.h>

+ Inheritance diagram for itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >:
+ Collaboration diagram for itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >:

List of all members.

Public Types

typedef DerivativeOperator
< TPixel, VDimension,
TAllocator > 
DerivativeOperatorType
typedef GaussianOperator
< TPixel, VDimension,
TAllocator > 
GaussianOperatorType
typedef GaussianDerivativeOperator Self
typedef NeighborhoodOperator
< TPixel, VDimension,
TAllocator > 
Superclass

Public Member Functions

 GaussianDerivativeOperator ()
 GaussianDerivativeOperator (const Self &other)
double GetMaximumError ()
Selfoperator= (const Self &other)
virtual void PrintSelf (std::ostream &os, Indent i) const
void SetMaximumError (const double maxerror)
void SetMaximumKernelWidth (unsigned int n)
void SetNormalizeAcrossScale (bool flag)
bool GetNormalizeAcrossScale () const
virtual void NormalizeAcrossScaleOn ()
virtual void NormalizeAcrossScaleOff ()
void SetVariance (const double variance)
double GetVariance () const
void SetSpacing (const double spacing)
double GetSpacing () const
void SetOrder (const unsigned int order)
unsigned int GetOrder () const

Protected Types

typedef
Superclass::CoefficientVector 
CoefficientVector

Protected Member Functions

void Fill (const CoefficientVector &coeff)
CoefficientVector GenerateCoefficients ()

Static Protected Member Functions

static double ModifiedBesselI (int, double)
static double ModifiedBesselI0 (double)
static double ModifiedBesselI1 (double)

Private Member Functions

CoefficientVector GenerateGaussianCoefficients () const
const char * GetNameOfClass () const

Private Attributes

double m_MaximumError
unsigned int m_MaximumKernelWidth
bool m_NormalizeAcrossScale
unsigned int m_Order
double m_Spacing
double m_Variance

Detailed Description

template<class TPixel, unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
class itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >

A NeighborhoodOperator whose coefficients are a one dimensional, discrete derivative Gaussian kernel.

GaussianDerivativeOperator can be used to calculate Gaussian derivatives by taking its inner product with to a Neighborhood (NeighborhooIterator) that is swept across an image region. It is a directional operator. N successive applications oriented along each dimensional direction will calculate separable, efficient, N-D Gaussian derivatives of an image region.

GaussianDerivativeOperator takes three parameters:

(1) The floating-point variance of the desired Gaussian function.

(2) The order of the derivative to be calculated (zero order means it performs only smoothing as a standard itk::GaussianOperator)

(3) The "maximum error" allowed in the discrete Gaussian function. "Maximum errror" is defined as the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. Care should be taken not to make this value too small relative to the variance lest the operator size become unreasonably large.

References: The Gaussian kernel contained in this operator was described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.).

Author:
Ivan Macia, VICOMTech, Spain, http://www.vicomtech.es

This implementation is derived from the Insight Journal paper: http://hdl.handle.net/1926/1290

See also:
GaussianOperator
NeighborhoodOperator
NeighborhoodIterator
Neighborhood
Wiki Examples:

Definition at line 77 of file itkGaussianDerivativeOperator.h.


Member Typedef Documentation

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
typedef Superclass::CoefficientVector itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::CoefficientVector [protected]

Typedef support for coefficient vector type. Necessary to fix bug in the microsoft VC++ compiler.

Reimplemented from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >.

Definition at line 157 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
typedef DerivativeOperator< TPixel, VDimension, TAllocator > itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::DerivativeOperatorType

Definition at line 88 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
typedef GaussianOperator< TPixel, VDimension, TAllocator > itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GaussianOperatorType

Neighborhood operator types.

Definition at line 87 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
typedef GaussianDerivativeOperator itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::Self

Standard class typedefs.

Reimplemented from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >.

Definition at line 83 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
typedef NeighborhoodOperator< TPixel, VDimension, TAllocator > itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::Superclass

Constructor & Destructor Documentation

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GaussianDerivativeOperator ( )

Constructor.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GaussianDerivativeOperator ( const Self other)

Copy constructor


Member Function Documentation

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::Fill ( const CoefficientVector coeff) [inline, protected, virtual]

Arranges coefficients spatially in the memory buffer.

Implements itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >.

Definition at line 175 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
CoefficientVector itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GenerateCoefficients ( ) [protected, virtual]

Calculates operator coefficients.

Implements itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
CoefficientVector itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GenerateGaussianCoefficients ( ) const [private]
template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GetMaximumError ( ) [inline]

Definition at line 136 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
const char* itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GetNameOfClass ( ) const [inline, private]

For compatibility with itkWarningMacro

Definition at line 184 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
bool itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GetNormalizeAcrossScale ( ) const [inline]

Set/Get the flag for calculating scale-space normalized derivatives.

Normalized derivatives are obtained multiplying by the scale parameter $t^1/order$. This use useful for scale-space selection algorithms such as blob detection. The scaling results in the value of the derivatives being independent of the size of an object.

Definition at line 109 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
unsigned int itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GetOrder ( ) const [inline]

Sets/Get the order of the derivative.

Definition at line 149 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GetSpacing ( void  ) const [inline]

Set/Get the spacing for the direction of this kernel.

Definition at line 122 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GetVariance ( ) const [inline]

Set/Get the variance of the Gaussian kernel.

Definition at line 117 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
static double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::ModifiedBesselI ( int  ,
double   
) [static, protected]

Returns the value of the modified Bessel function Ik(x) at a point x>=0, where k>=2.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
static double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::ModifiedBesselI0 ( double  ) [static, protected]

Returns the value of the modified Bessel function I0(x) at a point x >= 0.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
static double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::ModifiedBesselI1 ( double  ) [static, protected]

Returns the value of the modified Bessel function I1(x) at a point x, x real.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
virtual void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::NormalizeAcrossScaleOff ( ) [virtual]

Set/Get the flag for calculating scale-space normalized derivatives.

Normalized derivatives are obtained multiplying by the scale parameter $t^1/order$. This use useful for scale-space selection algorithms such as blob detection. The scaling results in the value of the derivatives being independent of the size of an object.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
virtual void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::NormalizeAcrossScaleOn ( ) [virtual]

Set/Get the flag for calculating scale-space normalized derivatives.

Normalized derivatives are obtained multiplying by the scale parameter $t^1/order$. This use useful for scale-space selection algorithms such as blob detection. The scaling results in the value of the derivatives being independent of the size of an object.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
Self& itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::operator= ( const Self other)

Assignment operator

Reimplemented from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
virtual void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::PrintSelf ( std::ostream &  os,
Indent  i 
) const [virtual]

Prints member variables

Reimplemented from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::SetMaximumError ( const double  maxerror) [inline]

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.

Definition at line 129 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::SetMaximumKernelWidth ( unsigned int  n) [inline]

Sets/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.

Definition at line 142 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::SetNormalizeAcrossScale ( bool  flag) [inline]

Set/Get the flag for calculating scale-space normalized derivatives.

Normalized derivatives are obtained multiplying by the scale parameter $t^1/order$. This use useful for scale-space selection algorithms such as blob detection. The scaling results in the value of the derivatives being independent of the size of an object.

Definition at line 108 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::SetOrder ( const unsigned int  order) [inline]

Sets/Get the order of the derivative.

Definition at line 148 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::SetSpacing ( const double  spacing) [inline]

Set/Get the spacing for the direction of this kernel.

Definition at line 121 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
void itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::SetVariance ( const double  variance) [inline]

Set/Get the variance of the Gaussian kernel.

Definition at line 116 of file itkGaussianDerivativeOperator.h.


Member Data Documentation

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::m_MaximumError [private]

Difference between the areas under the curves of the continuous and discrete Gaussian functions.

Definition at line 197 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
unsigned int itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::m_MaximumKernelWidth [private]

Maximum kernel size allowed. This value is used to truncate a kernel that has grown too large. A warning is given when the specified maximum error causes the kernel to exceed this size.

Definition at line 202 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
bool itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::m_NormalizeAcrossScale [private]

Normalize derivatives across scale space

Definition at line 190 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
unsigned int itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::m_Order [private]

Order of the derivative.

Definition at line 205 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::m_Spacing [private]

Spacing in the direction of this kernel.

Definition at line 208 of file itkGaussianDerivativeOperator.h.

template<class TPixel , unsigned int VDimension = 2, class TAllocator = NeighborhoodAllocator< TPixel >>
double itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::m_Variance [private]

Desired variance of the discrete Gaussian function.

Definition at line 193 of file itkGaussianDerivativeOperator.h.


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