#include <itkNumericTraits.h>

Inheritance diagram for itk::NumericTraits< T >:

Collaboration diagram for itk::NumericTraits< T >:

Public Types
typedef T	AbsType
typedef double	AccumulateType
typedef float	FloatType
typedef FixedArray< ValueType, 1 >	MeasurementVectorType
typedef T	PrintType
typedef double	RealType
typedef RealType	ScalarRealType
typedef std::numeric_limits< T >	TraitsType
typedef T	ValueType
Static Public Member Functions
template<class TArray >
static void	AssignToArray (const T &v, TArray &mv)
static unsigned int	GetLength (const T &)
static unsigned int	GetLength ()
static bool	IsNegative (T val)
static bool	IsNonnegative (T val)
static bool	IsNonpositive (T val)
static bool	IsPositive (T val)
static T	max (const T &)
static T	min (const T &)
static T	NonpositiveMin ()
static T	NonpositiveMin (const T &)
static T	OneValue ()
static T	OneValue (const T &)
static void	SetLength (T &, const unsigned int s)
static T	ZeroValue ()
static T	ZeroValue (const T &)
Static Public Attributes
static const T	One
static const T	Zero

Detailed Description

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

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

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.

Wiki Examples:

All Examples

Get some basic information about a type

Examples:: itkImageIteratorTest.cxx, and itkVectorImageTest.cxx.

Definition at line 70 of file itkNumericTraits.h.

Member Typedef Documentation

template<class T>

typedef T itk::NumericTraits< T >::AbsType

Return value of vcl_abs().

Definition at line 83 of file itkNumericTraits.h.

template<class T>

typedef double itk::NumericTraits< T >::AccumulateType

Accumulation of addition and multiplication.

Definition at line 86 of file itkNumericTraits.h.

template<class T>

typedef float itk::NumericTraits< T >::FloatType

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

Definition at line 93 of file itkNumericTraits.h.

template<class T>

typedef FixedArray<ValueType, 1> itk::NumericTraits< T >::MeasurementVectorType

Measurement vector type

Definition at line 89 of file itkNumericTraits.h.

template<class T>

typedef T itk::NumericTraits< T >::PrintType

Return the type that can be printed.

Examples:: RGBImage.cxx.

Definition at line 80 of file itkNumericTraits.h.

template<class T>

typedef double itk::NumericTraits< T >::RealType

Type for real-valued scalar operations.

Definition at line 96 of file itkNumericTraits.h.

template<class T>

typedef RealType itk::NumericTraits< T >::ScalarRealType

Type for real-valued scalar operations.

Definition at line 99 of file itkNumericTraits.h.

template<class T>

typedef std::numeric_limits< T > itk::NumericTraits< T >::TraitsType

The type of this limits trait object.

Definition at line 74 of file itkNumericTraits.h.

template<class T>

typedef T itk::NumericTraits< T >::ValueType

Return the type of this native type.

Definition at line 77 of file itkNumericTraits.h.

Member Function Documentation

template<class T>

template<class TArray >

static void itk::NumericTraits< T >::AssignToArray	(	const T &	v,
		TArray &	mv
	)		`[inline, static]`

assign the value to an array

Definition at line 196 of file itkNumericTraits.h.

template<class T>

static unsigned int itk::NumericTraits< T >::GetLength ( const T & ) [inline, static]

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 159 of file itkNumericTraits.h.

template<class T>

static unsigned int itk::NumericTraits< T >::GetLength ( ) [inline, static]

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

Definition at line 165 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(), and itk::NumericTraits< InputImagePixelType >::GetLength().

template<class T>

static bool itk::NumericTraits< T >::IsNegative ( T val ) [inline, static]

Is a given value negative?

Definition at line 117 of file itkNumericTraits.h.

template<class T>

static bool itk::NumericTraits< T >::IsNonnegative ( T val ) [inline, static]

Is a given value nonnegative?

Definition at line 120 of file itkNumericTraits.h.

template<class T>

static bool itk::NumericTraits< T >::IsNonpositive ( T val ) [inline, static]

Is a given value nonpositive?

Definition at line 114 of file itkNumericTraits.h.

template<class T>

static bool itk::NumericTraits< T >::IsPositive ( T val ) [inline, static]

Is a given value positive?

Definition at line 111 of file itkNumericTraits.h.

template<class T>

static T itk::NumericTraits< T >::max ( const T & ) [inline, static]

Definition at line 135 of file itkNumericTraits.h.

Referenced by itk::NumericTraits< std::vector< T > >::max(), itk::NumericTraits< InputImagePixelType >::max(), and RegressionTestImage().

template<class T>

static T itk::NumericTraits< T >::min ( const T & ) [inline, static]

Definition at line 136 of file itkNumericTraits.h.

Referenced by itk::NumericTraits< std::vector< T > >::min(), itk::NumericTraits< InputImagePixelType >::min(), and itk::NumericTraits< InputImagePixelType >::NonpositiveMin().

template<class T>

static T itk::NumericTraits< T >::NonpositiveMin ( ) [inline, static]

Smallest (most nonpositive) value

Definition at line 108 of file itkNumericTraits.h.

template<class T>

static T itk::NumericTraits< T >::NonpositiveMin ( const T & ) [inline, static]

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

Definition at line 173 of file itkNumericTraits.h.

template<class T>

static T itk::NumericTraits< T >::OneValue ( ) [inline, static]

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

Definition at line 128 of file itkNumericTraits.h.

Referenced by itk::NumericTraits< Vector< T, D > >::OneValue(), itk::NumericTraits< Point< T, D > >::OneValue(), itk::NumericTraits< RGBAPixel< T > >::OneValue(), itk::NumericTraits< RGBPixel< T > >::OneValue(), itk::NumericTraits< CovariantVector< T, D > >::OneValue(), itk::NumericTraits< SymmetricSecondRankTensor< T, D > >::OneValue(), itk::NumericTraits< FixedArray< T, D > >::OneValue(), and itk::NumericTraits< InputImagePixelType >::OneValue().

template<class T>

static T itk::NumericTraits< T >::OneValue ( const T & ) [inline, static]

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

Definition at line 189 of file itkNumericTraits.h.

template<class T>

static void itk::NumericTraits< T >::SetLength	(	T &	,
		const unsigned int	s
	)		`[inline, static]`

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 145 of file itkNumericTraits.h.

template<class T>

static T itk::NumericTraits< T >::ZeroValue ( ) [inline, static]

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

Definition at line 124 of file itkNumericTraits.h.

Referenced by itk::NumericTraits< Vector< T, D > >::ZeroValue(), itk::NumericTraits< Point< T, D > >::ZeroValue(), itk::NumericTraits< RGBAPixel< T > >::ZeroValue(), itk::NumericTraits< RGBPixel< T > >::ZeroValue(), itk::NumericTraits< CovariantVector< T, D > >::ZeroValue(), itk::NumericTraits< SymmetricSecondRankTensor< T, D > >::ZeroValue(), itk::NumericTraits< FixedArray< T, D > >::ZeroValue(), and itk::NumericTraits< InputImagePixelType >::ZeroValue().