ITK  6.0.0
Insight Toolkit
Public Types | Static Public Member Functions | Static Public Attributes | List of all members
itk::NumericTraits< T > Class Template Reference

#include <itkNumericTraits.h>

Detailed Description

template<typename T>
class itk::NumericTraits< T >

Define additional traits for native types such as int or float.

Define numeric traits for std::vector.

NumericTraits is used to extend the traits associated with native types such as float, char, int, and so on. These traits are extensions of the standard numeric_limits defined by the C++ compilers. Some of the added traits include minimum and maximum value; accumulation type; etc.

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Template Parameters
TComponent type of std::vector

We provide here a generic implementation based on creating types of std::vector whose components are the types of the NumericTraits from the original std::vector components. This implementation require support for partial specializations, since it is based on the concept that: NumericTraits<std::vector< T > > is defined piecewise by std::vector< NumericTraits< T > >

Note
The Zero(), One(), min() and max() methods here take references to a pixel as input. This is due to the fact that the length of the std::vector is not known until run-time. Since the most common use of Zero and One is for comparison purposes or initialization of sums etc, this might just as easily be re-written with a pixel passed in as a reference and the length is inferred from this pixel.
See also
NumericTraits

Definition at line 60 of file itkNumericTraits.h.

+ Inheritance diagram for itk::NumericTraits< T >:
+ Collaboration diagram for itk::NumericTraits< T >:

Public Types

using AbsType = T
 
using AccumulateType = double
 
using FloatType = float
 
using MeasurementVectorType = FixedArray< ValueType, 1 >
 
using PrintType = T
 
using RealType = double
 
using ScalarRealType = RealType
 
using TraitsType = std::numeric_limits< T >
 
using ValueType = T
 

Static Public Member Functions

template<typename TArray >
static void AssignToArray (const T &v, TArray &mv)
 
static unsigned int GetLength ()
 
static unsigned int GetLength (const T &)
 
static bool IsNegative (T val)
 
static bool IsNonnegative (T val)
 
static bool IsNonpositive (T val)
 
static bool IsPositive (T val)
 
static constexpr T max (const T &)
 
static constexpr T min (const T &)
 
static constexpr T NonpositiveMin ()
 
static T NonpositiveMin (const T &)
 
static T OneValue ()
 
static T OneValue (const T &)
 
static void SetLength (T &m, const unsigned int s)
 
static T ZeroValue ()
 
static T ZeroValue (const T &)
 

Static Public Attributes

static constexpr bool IsComplex = false
 
static constexpr bool IsInteger = false
 
static constexpr bool IsSigned = false
 
static const T ITKCommon_EXPORT One
 
static const T ITKCommon_EXPORT Zero
 

Member Typedef Documentation

◆ AbsType

template<typename T >
using itk::NumericTraits< T >::AbsType = T

Return value of itk::Math::abs().

Definition at line 73 of file itkNumericTraits.h.

◆ AccumulateType

template<typename T >
using itk::NumericTraits< T >::AccumulateType = double

Accumulation of addition and multiplication.

Definition at line 76 of file itkNumericTraits.h.

◆ FloatType

template<typename T >
using itk::NumericTraits< T >::FloatType = float

Typedef for operations that use floating point instead of real precision to save memory

Definition at line 83 of file itkNumericTraits.h.

◆ MeasurementVectorType

template<typename T >
using itk::NumericTraits< T >::MeasurementVectorType = FixedArray<ValueType, 1>

Measurement vector type

Definition at line 79 of file itkNumericTraits.h.

◆ PrintType

template<typename T >
using itk::NumericTraits< T >::PrintType = T

Return the type that can be printed.

Definition at line 70 of file itkNumericTraits.h.

◆ RealType

template<typename T >
using itk::NumericTraits< T >::RealType = double

Type for real-valued scalar operations.

Definition at line 86 of file itkNumericTraits.h.

◆ ScalarRealType

template<typename T >
using itk::NumericTraits< T >::ScalarRealType = RealType

Type for real-valued scalar operations.

Definition at line 89 of file itkNumericTraits.h.

◆ TraitsType

template<typename T >
using itk::NumericTraits< T >::TraitsType = std::numeric_limits<T>

The type of this limits trait object.

Definition at line 64 of file itkNumericTraits.h.

◆ ValueType

template<typename T >
using itk::NumericTraits< T >::ValueType = T

Return the type of this native type.

Definition at line 67 of file itkNumericTraits.h.

Member Function Documentation

◆ AssignToArray()

template<typename T >
template<typename TArray >
static void itk::NumericTraits< T >::AssignToArray ( const T &  v,
TArray &  mv 
)
inlinestatic

assign the value to an array

Definition at line 245 of file itkNumericTraits.h.

◆ GetLength() [1/2]

template<typename T >
static unsigned int itk::NumericTraits< T >::GetLength ( )
inlinestatic

Return the length of the scalar: 1. Array types can return a different value

Definition at line 210 of file itkNumericTraits.h.

Referenced by itk::NumericTraits< Array< T > >::AssignToArray(), itk::NumericTraits< std::vector< T > >::AssignToArray(), itk::NumericTraits< SymmetricSecondRankTensor< T, D > >::AssignToArray(), itk::NumericTraits< VariableLengthVector< T > >::AssignToArray(), itk::NumericTraits< SymmetricSecondRankTensor< T, D > >::GetLength(), itk::NumericTraits< T >::GetLength(), itk::NumericTraits< VariableLengthVector< T > >::IsNegative(), itk::NumericTraits< Vector< T, D > >::IsNegative(), itk::NumericTraits< VariableLengthVector< T > >::IsNonnegative(), itk::NumericTraits< Vector< T, D > >::IsNonnegative(), itk::NumericTraits< VariableLengthVector< T > >::IsNonpositive(), itk::NumericTraits< Vector< T, D > >::IsNonpositive(), itk::NumericTraits< VariableLengthVector< T > >::IsPositive(), itk::NumericTraits< Vector< T, D > >::IsPositive(), itk::Statistics::MeasurementVectorTraits::IsResizable(), itk::Statistics::MembershipFunctionBase< TVector >::MembershipFunctionBase(), itk::Statistics::Sample< TMeasurementVector >::Sample(), itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::SetCentroids(), itk::Statistics::DistanceMetric< TVector >::SetMeasurementVectorSize(), itk::Statistics::MembershipFunctionBase< TVector >::SetMeasurementVectorSize(), itk::Statistics::Sample< TMeasurementVector >::SetMeasurementVectorSize(), itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel(), and itk::GTest::Predicate::VectorDoubleRMSPredFormat().

◆ GetLength() [2/2]

template<typename T >
static unsigned int itk::NumericTraits< T >::GetLength ( const T &  )
inlinestatic

Return the length of the scalar. This API is needed for VariableLengthVector because its length is only known at run-time. Specializations of the VariableLengthVector will provide a different implementation where a vector of the correct size is built.

Definition at line 203 of file itkNumericTraits.h.

References itk::NumericTraits< T >::GetLength().

◆ IsNegative()

template<typename T >
static bool itk::NumericTraits< T >::IsNegative ( val)
inlinestatic

◆ IsNonnegative()

template<typename T >
static bool itk::NumericTraits< T >::IsNonnegative ( val)
inlinestatic

◆ IsNonpositive()

template<typename T >
static bool itk::NumericTraits< T >::IsNonpositive ( val)
inlinestatic

◆ IsPositive()

template<typename T >
static bool itk::NumericTraits< T >::IsPositive ( val)
inlinestatic

◆ max()

template<typename T >
static constexpr T itk::NumericTraits< T >::max ( const T &  )
inlinestaticconstexpr

Definition at line 169 of file itkNumericTraits.h.

Referenced by itk::AdaptiveHistogramEqualizationImageFilter< TImageType, TKernel >::AdaptiveHistogramEqualizationImageFilter(), itk::Functor::LabelToRGBFunctor< TLabel, TRGBPixel >::AddColor(), itk::AnchorCloseImageFilter< TImage, TKernel >::AnchorCloseImageFilter(), itk::AnchorErodeImageFilter< TImage, TKernel >::AnchorErodeImageFilter(), itk::AnchorOpenImageFilter< TImage, TKernel >::AnchorOpenImageFilter(), itk::BinaryNotImageFilter< TImage >::BinaryNotImageFilter(), itk::BinaryProjectionImageFilter< TInputImage, TOutputImage >::BinaryProjectionImageFilter(), itk::Functor::BinaryThreshold< TInput, TOutput >::BinaryThreshold(), itk::BinaryThresholdProjectionImageFilter< TInputImage, TOutputImage >::BinaryThresholdProjectionImageFilter(), itk::Function::ColormapFunction< TScalar, TRGBPixel >::ColormapFunction(), itk::Function::RankHistogram< TInputPixel >::GetValueBruteForce(), itk::Function::VectorRankHistogram< TInputPixel >::GetValueBruteForce(), itk::Functor::GPUBinaryThreshold< TInput, TOutput >::GPUBinaryThreshold(), itk::Functor::MinimumAccumulator< TInputPixel >::Initialize(), itk::Functor::IntensityLinearTransform< TInput, TOutput >::IntensityLinearTransform(), itk::Functor::InvertIntensityTransform< TInput, TOutput >::InvertIntensityTransform(), itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >::LabelGeometry::LabelGeometry(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics::LabelStatistics(), itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >::MovingHistogramErodeImageFilter(), itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >::MultiphaseFiniteDifferenceImageFilter(), itk::UnsharpMaskImageFilter< TInputImage, TOutputImage, TInternalPrecision >::UnsharpMaskingFunctor< InPixelType, FunctorRealType, OutPixelType >::operator()(), itk::Functor::Div< TInput1, TInput2, TOutput >::operator()(), itk::Functor::Modulus< TInput1, TInput2, TOutput >::operator()(), itk::Functor::DivFloor< TInput1, TInput2, TOutput >::operator()(), itk::Functor::ConstrainedValueAddition< TInput1, TInput2, TOutput >::operator()(), itk::Function::RankHistogram< TInputPixel >::RankHistogram(), itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >::ReconstructionByErosionImageFilter(), itk::Function::VectorMorphologicalGradientHistogram< TInputPixel >::RemovePixel(), itk::Functor::Sigmoid< TInput, TOutput >::Sigmoid(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexCellVisitor::SimplexCellVisitor(), itk::STAPLEImageFilter< TInputImage, TOutputImage >::STAPLEImageFilter(), itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ThresholdSegmentationLevelSetFunction(), itk::VanHerkGilWermanErodeImageFilter< TImage, TKernel >::VanHerkGilWermanErodeImageFilter(), itk::Function::VectorMorphologicalGradientHistogram< TInputPixel >::VectorMorphologicalGradientHistogram(), itk::Function::VectorMorphologyHistogram< TInputPixel, TCompare >::VectorMorphologyHistogram(), and itk::Function::VectorRankHistogram< TInputPixel >::VectorRankHistogram().

◆ min()

template<typename T >
static constexpr T itk::NumericTraits< T >::min ( const T &  )
inlinestaticconstexpr

◆ NonpositiveMin() [1/2]

template<typename T >
static constexpr T itk::NumericTraits< T >::NonpositiveMin ( )
inlinestaticconstexpr

Smallest (most nonpositive) value

Definition at line 99 of file itkNumericTraits.h.

Referenced by itk::Function::VectorMorphologyHistogram< TInputPixel, TCompare >::AddPixel(), itk::Function::VectorMorphologicalGradientHistogram< TInputPixel >::AddPixel(), itk::AnchorCloseImageFilter< TImage, TKernel >::AnchorCloseImageFilter(), itk::AnchorDilateImageFilter< TImage, TKernel >::AnchorDilateImageFilter(), itk::AnchorOpenImageFilter< TImage, TKernel >::AnchorOpenImageFilter(), itk::BinaryNotImageFilter< TImage >::BinaryNotImageFilter(), itk::BinaryProjectionImageFilter< TInputImage, TOutputImage >::BinaryProjectionImageFilter(), itk::Functor::BinaryThreshold< TInput, TOutput >::BinaryThreshold(), itk::BinaryThresholdProjectionImageFilter< TInputImage, TOutputImage >::BinaryThresholdProjectionImageFilter(), itk::Concept::HasNumericTraits< T >::Constraints::constraints(), itk::LevelSetMotionRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GetGlobalDataPointer(), itk::Function::VectorRankHistogram< TInputPixel >::GetValueBruteForce(), itk::Functor::GPUBinaryThreshold< TInput, TOutput >::GPUBinaryThreshold(), itk::Functor::MaximumAccumulator< TInputPixel >::Initialize(), itk::Functor::IntensityLinearTransform< TInput, TOutput >::IntensityLinearTransform(), itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >::LabelGeometry::LabelGeometry(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics::LabelStatistics(), itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >::MovingHistogramDilateImageFilter(), itk::NumericTraits< CovariantVector< T, D > >::NonpositiveMin(), itk::NumericTraits< DiffusionTensor3D< T > >::NonpositiveMin(), itk::NumericTraits< FixedArray< T, D > >::NonpositiveMin(), itk::NumericTraits< Point< T, D > >::NonpositiveMin(), itk::NumericTraits< RGBAPixel< T > >::NonpositiveMin(), itk::NumericTraits< RGBPixel< T > >::NonpositiveMin(), itk::NumericTraits< SymmetricSecondRankTensor< T, D > >::NonpositiveMin(), itk::NumericTraits< Vector< T, D > >::NonpositiveMin(), itk::NumericTraits< T >::NonpositiveMin(), itk::UnsharpMaskImageFilter< TInputImage, TOutputImage, TInternalPrecision >::UnsharpMaskingFunctor< InPixelType, FunctorRealType, OutPixelType >::operator()(), itk::Functor::Maximum1< TInput, TOutput >::operator()(), itk::Functor::DivFloor< TInput1, TInput2, TOutput >::operator()(), itk::Functor::ConstrainedValueAddition< TInput1, TInput2, TOutput >::operator()(), itk::Functor::ConstrainedValueDifference< TInput1, TInput2, TOutput >::operator()(), itk::Function::RankHistogram< TInputPixel >::RankHistogram(), itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >::ReconstructionByDilationImageFilter(), itk::Function::VectorMorphologyHistogram< TInputPixel, TCompare >::RemovePixel(), itk::Function::VectorMorphologicalGradientHistogram< TInputPixel >::RemovePixel(), itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ThresholdSegmentationLevelSetFunction(), itk::VanHerkGilWermanDilateImageFilter< TImage, TKernel >::VanHerkGilWermanDilateImageFilter(), itk::Function::VectorMorphologicalGradientHistogram< TInputPixel >::VectorMorphologicalGradientHistogram(), itk::Function::VectorMorphologyHistogram< TInputPixel, TCompare >::VectorMorphologyHistogram(), and itk::Function::VectorRankHistogram< TInputPixel >::VectorRankHistogram().

◆ NonpositiveMin() [2/2]

template<typename T >
static T itk::NumericTraits< T >::NonpositiveMin ( const T &  )
inlinestatic

Smallest (most nonpositive) value. This API is needed for VariableLengthVector because its length is only known at run-time.

Definition at line 219 of file itkNumericTraits.h.

References itk::NumericTraits< T >::NonpositiveMin().

◆ OneValue() [1/2]

template<typename T >
static T itk::NumericTraits< T >::OneValue ( )
inlinestatic

Return one value. This function should be used to support RGBPixel type and standard types (not vectors)

Definition at line 158 of file itkNumericTraits.h.

References itk::NumericTraits< T >::One.

Referenced by itk::Concept::HasNumericTraits< T >::Constraints::constraints(), itk::RegionBasedLevelSetFunction< TInput, TFeature, TSharedData >::CurvatureSpeed(), itk::LevelSetFunction< TImageType >::CurvatureSpeed(), itk::Functor::DivideOrZeroOut< TNumerator, TDenominator, TOutput >::DivideOrZeroOut(), itk::Path< TInput, TOutput, VDimension >::EndOfInput(), itk::NormalVectorDiffusionFunction< TSparseImageType >::FluxStopFunction(), itk::RegionBasedLevelSetFunction< TInput, TFeature, TSharedData >::LaplacianSmoothingSpeed(), itk::LevelSetFunction< TImageType >::LaplacianSmoothingSpeed(), itk::Functor::LogicOpBase< TInput1, TInput2, TOutput >::LogicOpBase(), itk::NumericTraits< CovariantVector< T, D > >::OneValue(), itk::NumericTraits< DiffusionTensor3D< T > >::OneValue(), itk::NumericTraits< FixedArray< T, D > >::OneValue(), itk::NumericTraits< Point< T, D > >::OneValue(), itk::NumericTraits< RGBAPixel< T > >::OneValue(), itk::NumericTraits< RGBPixel< T > >::OneValue(), itk::NumericTraits< SymmetricSecondRankTensor< T, D > >::OneValue(), itk::NumericTraits< Vector< T, D > >::OneValue(), itk::NumericTraits< T >::OneValue(), itk::Functor::LandweberMethod< TInput1, TInput2, TInput3, TOutput >::operator()(), itk::Functor::InvertIntensityFunctor< InputPixelType >::operator()(), itk::Functor::WeightedAdd2< TInput1, TInput2, TOutput >::SetAlpha(), itk::STAPLEImageFilter< TInputImage, TOutputImage >::STAPLEImageFilter(), and itk::Functor::ThresholdLabeler< TInput, TOutput >::ThresholdLabeler().

◆ OneValue() [2/2]

template<typename T >
static T itk::NumericTraits< T >::OneValue ( const T &  )
inlinestatic

One value. This API is needed for VariableLengthVector because its length is only known at run-time.

Definition at line 237 of file itkNumericTraits.h.

References itk::NumericTraits< T >::OneValue().

◆ SetLength()

template<typename T >
static void itk::NumericTraits< T >::SetLength ( T &  m,
const unsigned int  s 
)
inlinestatic

Scalars cannot be resized, so an exception will be thrown if the input size is not 1. If the size is valid the will be zeros. This API is needed for VariableLengthVector because its length is only known at run-time. Specializations of the VariableLengthVector will provide a different implementation where a vector of the correct size is built.

Definition at line 187 of file itkNumericTraits.h.

Referenced by itk::Functor::LabelToRGBFunctor< TLabel, TRGBPixel >::AddColor(), itk::Functor::LabelToRGBFunctor< TLabel, TRGBPixel >::LabelToRGBFunctor(), itk::Functor::LabelOverlayFunctor< TInputPixel, TLabel, TRGBPixel >::operator()(), and itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::SetCentroids().

◆ ZeroValue() [1/2]

template<typename T >
static T itk::NumericTraits< T >::ZeroValue ( )
inlinestatic

◆ ZeroValue() [2/2]

template<typename T >
static T itk::NumericTraits< T >::ZeroValue ( const T &  )
inlinestatic

Zero value. This API is needed for VariableLengthVector because its length is only known at run-time.

Definition at line 228 of file itkNumericTraits.h.

References itk::NumericTraits< T >::ZeroValue().

Member Data Documentation

◆ IsComplex

template<typename T >
constexpr bool itk::NumericTraits< T >::IsComplex = false
staticconstexpr

Is a given type complex? – default is no. For uniform array data types in ITK, the value of IsComplex is determined by the component elements of the array.

Definition at line 145 of file itkNumericTraits.h.

◆ IsInteger

template<typename T >
constexpr bool itk::NumericTraits< T >::IsInteger = false
staticconstexpr

Is a given type an integer? – default is no. For uniform array data types in ITK, the value of IsInteger is determined by the component elements of the array.

Definition at line 140 of file itkNumericTraits.h.

◆ IsSigned

template<typename T >
constexpr bool itk::NumericTraits< T >::IsSigned = false
staticconstexpr

Is a given type signed? – default is no. For uniform array data types in ITK, the value of IsSigned is determined by the component elements of the array.

Definition at line 135 of file itkNumericTraits.h.

◆ One

template<typename T >
const T ITKCommon_EXPORT itk::NumericTraits< T >::One
static

Multiplicative identity.

Definition at line 95 of file itkNumericTraits.h.

Referenced by itk::NumericTraits< T >::OneValue().

◆ Zero

template<typename T >
const T ITKCommon_EXPORT itk::NumericTraits< T >::Zero
static

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