ITK  4.4.0 Insight Segmentation and Registration Toolkit
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 >:

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.).

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

GaussianOperator
NeighborhoodOperator
NeighborhoodIterator
Neighborhood
Wiki Examples:

Definition at line 77 of file itkGaussianDerivativeOperator.h.

Public Types

typedef DerivativeOperator
< TPixel, VDimension,
TAllocator >
DerivativeOperatorType

typedef GaussianOperator
< TPixel, VDimension,
TAllocator >
GaussianOperatorType

typedef GaussianDerivativeOperator Self

typedef NeighborhoodOperator
< TPixel, VDimension,
TAllocator >
Superclass

Public Types inherited from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >
typedef NumericTraits< TPixel >
::RealType
PixelRealType

typedef TPixel PixelType

typedef NeighborhoodOperator Self

typedef Superclass::SizeType SizeType

typedef SliceIterator< TPixel,
Self
SliceIteratorType

typedef Neighborhood< TPixel,
VDimension, TAllocator >
Superclass

Public Types inherited from itk::Neighborhood< TPixel, VDimension, TAllocator >
typedef TAllocator AllocatorType

typedef
AllocatorType::const_iterator
ConstIterator

typedef unsigned int DimensionValueType

typedef AllocatorType::iterator Iterator

typedef SizeValueType NeighborIndexType

typedef Offset< VDimension > OffsetType

typedef TPixel PixelType

typedef Neighborhood Self

typedef SizeType::SizeValueType SizeValueType

typedef SliceIterator< TPixel,
Self
SliceIteratorType

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

Public Member Functions inherited from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >
virtual void CreateDirectional ()

virtual void CreateToRadius (const SizeType &)

virtual void FlipAxes ()

unsigned long GetDirection () const

NeighborhoodOperator ()

NeighborhoodOperator (const Self &orig)

void ScaleCoefficients (PixelRealType)

void SetDirection (const unsigned long &direction)

Selfoperator= (const Self &orig)

Public Member Functions inherited from itk::Neighborhood< TPixel, VDimension, TAllocator >
NeighborIndexType GetCenterNeighborhoodIndex () const

TPixel GetCenterValue () const

virtual NeighborIndexType GetNeighborhoodIndex (const OffsetType &) const

OffsetType GetOffset (NeighborIndexType i) const

SizeValueType GetSize (DimensionValueType n) const

SizeType GetSize () const

std::slice GetSlice (unsigned int) const

OffsetValueType GetStride (DimensionValueType axis) const

Neighborhood (const Self &other)

bool operator!= (const Self &other) const

Selfoperator= (const Self &other)

bool operator== (const Self &other) const

void Print (std::ostream &os) const

NeighborIndexType Size () const

virtual ~Neighborhood ()

Neighborhood ()

Iterator End ()

Iterator Begin ()

ConstIterator End () const

ConstIterator Begin () const

TPixel & operator[] (NeighborIndexType i)

const TPixel & operator[] (NeighborIndexType i) const

TPixel & GetElement (NeighborIndexType i)

AllocatorTypeGetBufferReference ()

const AllocatorTypeGetBufferReference () const

TPixel & operator[] (const OffsetType &o)

const TPixel & operator[] (const OffsetType &o) const

Protected Types

typedef
Superclass::CoefficientVector
CoefficientVector

Protected Types inherited from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >
typedef std::vector
< PixelRealType
CoefficientVector

Protected Member Functions

void Fill (const CoefficientVector &coeff)

CoefficientVector GenerateCoefficients ()

Protected Member Functions inherited from itk::NeighborhoodOperator< TPixel, VDimension, TAllocator >
virtual void FillCenteredDirectional (const CoefficientVector &)

void InitializeToZero ()

Protected Member Functions inherited from itk::Neighborhood< TPixel, VDimension, TAllocator >
virtual void Allocate (NeighborIndexType i)

virtual void ComputeNeighborhoodOffsetTable ()

virtual void ComputeNeighborhoodStrideTable ()

void SetSize ()

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

Public Attributes inherited from itk::Neighborhood< TPixel, VDimension, TAllocator >

typedef::itk::Size< VDimension > SizeType

Static Public Attributes inherited from itk::Neighborhood< TPixel, VDimension, TAllocator >
static const unsigned int NeighborhoodDimension = VDimension

Member Typedef Documentation

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

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.

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

Definition at line 84 of file itkGaussianDerivativeOperator.h.

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 )
inlineprotectedvirtual

Arranges coefficients spatially in the memory buffer.

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 ( )
protectedvirtual

Calculates operator coefficients.

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
inlineprivate

For compatibility with itkWarningMacro

Definition at line 185 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 )
staticprotected

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 )
staticprotected

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 )
staticprotected

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

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 198 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 203 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 191 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 206 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 209 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 194 of file itkGaussianDerivativeOperator.h.

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