ITK
6.0.0
Insight Toolkit
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#include <itkGaussianDerivativeOperator.h>
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 (NeighborhoodIterator) 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 error" 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: https://doi.org/10.54294/mrg5is
Definition at line 105 of file itkGaussianDerivativeOperator.h.
Public Member Functions | |
double | GetMaximumError () |
const char * | GetNameOfClass () const override |
void | PrintSelf (std::ostream &os, Indent indent) const override |
void | SetMaximumError (const double maxerror) |
void | SetNormalizeAcrossScale (bool flag) |
bool | GetNormalizeAcrossScale () const |
virtual void | NormalizeAcrossScaleOn () |
void | SetVariance (const double variance) |
double | GetVariance () const |
void | SetSpacing (const double spacing) |
double | GetSpacing () const |
void | SetMaximumKernelWidth (unsigned int n) |
virtual unsigned int | GetMaximumKernelWidth () const |
void | SetOrder (const unsigned int order) |
unsigned int | GetOrder () const |
Public Member Functions inherited from itk::NeighborhoodOperator< TPixel, 2, NeighborhoodAllocator< TPixel > > | |
virtual void | CreateDirectional () |
virtual void | CreateToRadius (const SizeType &) |
virtual void | CreateToRadius (const SizeValueType) |
virtual void | FlipAxes () |
unsigned long | GetDirection () const |
const char * | GetNameOfClass () const override |
void | PrintSelf (std::ostream &os, Indent indent) const override |
void | ScaleCoefficients (PixelRealType) |
void | SetDirection (const unsigned long direction) |
Public Member Functions inherited from itk::Neighborhood< TPixel, VDimension, NeighborhoodAllocator< TPixel > > | |
NeighborIndexType | GetCenterNeighborhoodIndex () const |
TPixel | GetCenterValue () const |
virtual const char * | GetNameOfClass () const |
virtual NeighborIndexType | GetNeighborhoodIndex (const OffsetType &) const |
OffsetType | GetOffset (NeighborIndexType i) const |
const SizeType | GetRadius () const |
SizeValueType | GetRadius (DimensionValueType n) const |
SizeType | GetSize () const |
SizeValueType | GetSize (DimensionValueType n) const |
std::slice | GetSlice (unsigned int) const |
OffsetValueType | GetStride (DimensionValueType axis) const |
ITK_UNEQUAL_OPERATOR_MEMBER_FUNCTION (Self) | |
Neighborhood ()=default | |
Neighborhood (const Self &)=default | |
Neighborhood (Self &&)=default | |
Self & | operator= (const Self &)=default |
Self & | operator= (Self &&)=default |
bool | operator== (const Self &other) const |
void | Print (std::ostream &os) const |
void | SetRadius (const SizeType &) |
void | SetRadius (const SizeValueType) |
NeighborIndexType | Size () const |
virtual | ~Neighborhood ()=default |
Iterator | End () |
ConstIterator | End () const |
Iterator | Begin () |
ConstIterator | Begin () const |
TPixel & | operator[] (NeighborIndexType i) |
const TPixel & | operator[] (NeighborIndexType i) const |
TPixel & | GetElement (NeighborIndexType i) |
TPixel & | operator[] (const OffsetType &o) |
const TPixel & | operator[] (const OffsetType &o) const |
void | SetRadius (const SizeValueType *rad) |
AllocatorType & | GetBufferReference () |
const AllocatorType & | GetBufferReference () const |
Protected Types | |
using | CoefficientVector = typename std::vector< PixelRealType > |
Protected Types inherited from itk::NeighborhoodOperator< TPixel, 2, NeighborhoodAllocator< TPixel > > | |
using | CoefficientVector = typename std::vector< PixelRealType > |
Protected Member Functions | |
void | Fill (const CoefficientVector &coeff) override |
CoefficientVector | GenerateCoefficients () override |
Protected Member Functions inherited from itk::NeighborhoodOperator< TPixel, 2, NeighborhoodAllocator< TPixel > > | |
virtual void | Fill (const CoefficientVector &)=0 |
virtual void | FillCenteredDirectional (const CoefficientVector &) |
virtual CoefficientVector | GenerateCoefficients ()=0 |
void | InitializeToZero () |
Protected Member Functions inherited from itk::Neighborhood< TPixel, VDimension, NeighborhoodAllocator< TPixel > > | |
virtual void | Allocate (NeighborIndexType i) |
virtual void | ComputeNeighborhoodOffsetTable () |
virtual void | ComputeNeighborhoodStrideTable () |
virtual void | PrintSelf (std::ostream &, Indent) const |
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 |
Private Attributes | |
double | m_MaximumError { 0.005 } |
unsigned int | m_MaximumKernelWidth { 30 } |
bool | m_NormalizeAcrossScale { true } |
unsigned int | m_Order { 1 } |
double | m_Spacing { 1.0 } |
double | m_Variance { 1.0 } |
Additional Inherited Members | |
Static Public Attributes inherited from itk::Neighborhood< TPixel, VDimension, NeighborhoodAllocator< TPixel > > | |
static constexpr unsigned int | NeighborhoodDimension |
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Type alias support for coefficient vector type. Necessary to fix bug in the microsoft VC++ compiler.
Definition at line 153 of file itkNeighborhoodOperator.h.
using itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::DerivativeOperatorType = DerivativeOperator<TPixel, VDimension, TAllocator> |
Definition at line 120 of file itkGaussianDerivativeOperator.h.
using itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::GaussianOperatorType = GaussianOperator<TPixel, VDimension, TAllocator> |
Neighborhood operator types.
Definition at line 119 of file itkGaussianDerivativeOperator.h.
using itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::InterpolationModeEnum = GaussianDerivativeOperatorEnums::InterpolationMode |
Definition at line 116 of file itkGaussianDerivativeOperator.h.
using itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::Self = GaussianDerivativeOperator |
Standard class type aliases.
Definition at line 110 of file itkGaussianDerivativeOperator.h.
using itk::GaussianDerivativeOperator< TPixel, VDimension, TAllocator >::Superclass = NeighborhoodOperator<TPixel, VDimension, TAllocator> |
Definition at line 111 of file itkGaussianDerivativeOperator.h.
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Arranges coefficients spatially in the memory buffer.
Implements itk::NeighborhoodOperator< TPixel, 2, NeighborhoodAllocator< TPixel > >.
Definition at line 242 of file itkGaussianDerivativeOperator.h.
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Calculates operator coefficients.
Implements itk::NeighborhoodOperator< TPixel, 2, NeighborhoodAllocator< TPixel > >.
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Definition at line 184 of file itkGaussianDerivativeOperator.h.
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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.
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Reimplemented from itk::Neighborhood< TPixel, VDimension, NeighborhoodAllocator< TPixel > >.
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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 136 of file itkGaussianDerivativeOperator.h.
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Sets/Get the order of the derivative.
Definition at line 208 of file itkGaussianDerivativeOperator.h.
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Set/Get the spacing for the direction of this kernel.
Definition at line 165 of file itkGaussianDerivativeOperator.h.
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Set/Get the variance of the Gaussian kernel.
Definition at line 152 of file itkGaussianDerivativeOperator.h.
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Returns the value of the modified Bessel function Ik(x) at a point x>=0, where k>=2.
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Returns the value of the modified Bessel function I0(x) at a point x >= 0.
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Returns the value of the modified Bessel function I1(x) at a point x, x real.
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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.
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Standard itk object method.
Reimplemented from itk::Neighborhood< TPixel, VDimension, NeighborhoodAllocator< TPixel > >.
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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 176 of file itkGaussianDerivativeOperator.h.
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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 194 of file itkGaussianDerivativeOperator.h.
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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 131 of file itkGaussianDerivativeOperator.h.
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Sets/Get the order of the derivative.
Definition at line 203 of file itkGaussianDerivativeOperator.h.
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Set/Get the spacing for the direction of this kernel.
Definition at line 160 of file itkGaussianDerivativeOperator.h.
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Set/Get the variance of the Gaussian kernel.
Definition at line 147 of file itkGaussianDerivativeOperator.h.
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Difference between the areas under the curves of the continuous and discrete Gaussian functions.
Definition at line 261 of file itkGaussianDerivativeOperator.h.
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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 266 of file itkGaussianDerivativeOperator.h.
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Normalize derivatives across scale space
Definition at line 254 of file itkGaussianDerivativeOperator.h.
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Order of the derivative.
Definition at line 269 of file itkGaussianDerivativeOperator.h.
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Spacing in the direction of this kernel.
Definition at line 272 of file itkGaussianDerivativeOperator.h.
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Desired variance of the discrete Gaussian function.
Definition at line 257 of file itkGaussianDerivativeOperator.h.