/*========================================================================= * * Copyright Insight Software Consortium * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0.txt * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * *=========================================================================*/ #ifndef itkNumericTraitsVariableLengthVectorPixel_h #define itkNumericTraitsVariableLengthVectorPixel_h #include "itkVariableLengthVector.h" // This work is part of the National Alliance for Medical Image Computing // (NAMIC), funded by the National Institutes of Health through the NIH Roadmap // for Medical Research, Grant U54 EB005149. namespace itk { /** * \brief Define numeric traits for VariableLengthVector. * \tparam T Component type of VariableLenghtVector * * We provide here a generic implementation based on creating types of * VariableLengthVector whose components are the types of the NumericTraits from * the original VariableLengthVector components. This implementation require * support for partial specializations, since it is based on the * concept that: * NumericTraits > is defined piecewise by * VariableLengthVector< 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 VariableLengthVector 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. * * \sa NumericTraits * \ingroup DataRepresentation * \ingroup ITKCommon */ template< typename T > class NumericTraits< VariableLengthVector< T > > { public: typedef typename NumericTraits< T >::AbsType ElementAbsType; typedef typename NumericTraits< T >::AccumulateType ElementAccumulateType; typedef typename NumericTraits< T >::FloatType ElementFloatType; typedef typename NumericTraits< T >::PrintType ElementPrintType; typedef typename NumericTraits< T >::RealType ElementRealType; /** Return the type of the native component type. */ typedef T ValueType; typedef VariableLengthVector< T > Self; /** Unsigned component type */ typedef VariableLengthVector< ElementAbsType > AbsType; /** Accumulation of addition and multiplication. */ typedef VariableLengthVector< ElementAccumulateType > AccumulateType; /** Typedef for operations that use floating point instead of real precision */ typedef VariableLengthVector< ElementFloatType > FloatType; /** Return the type that can be printed. */ typedef VariableLengthVector< ElementPrintType > PrintType; /** Type for real-valued scalar operations. */ typedef VariableLengthVector< ElementRealType > RealType; /** Type for real-valued scalar operations. */ typedef ElementRealType ScalarRealType; /** Measurement vector type */ typedef Self MeasurementVectorType; /** Component wise defined element * * \note minimum value for floating pointer types is defined as * minimum positive normalize value. */ static const Self max(const Self & a) { Self b( a.Size() ); b.Fill( NumericTraits< T >::max() ); return b; } static const Self min(const Self & a) { Self b( a.Size() ); b.Fill( NumericTraits< T >::min() ); return b; } static const Self ZeroValue(const Self & a) { Self b( a.Size() ); b.Fill(NumericTraits< T >::ZeroValue()); return b; } static const Self OneValue(const Self & a) { Self b( a.Size() ); b.Fill(NumericTraits< T >::OneValue()); return b; } static const Self NonpositiveMin(const Self & a) { Self b( a.Size() ); b.Fill( NumericTraits< T >::NonpositiveMin() ); return b; } static bool IsPositive( const Self & a) { bool flag = false; for (unsigned int i=0; i < GetLength( a ); i++) { if ( a[i] > NumericTraits< ValueType >::ZeroValue() ) { flag = true; } } return flag; } static bool IsNonpositive( const Self & a) { bool flag = false; for (unsigned int i=0; i < GetLength( a ); i++) { if ( ! (a[i] > 0.0 ) ) { flag = true; } } return flag; } static bool IsNegative( const Self & a) { bool flag = false; for (unsigned int i=0; i < GetLength( a ); i++) { if ( a[i] < NumericTraits< ValueType >::ZeroValue() ) { flag = true; } } return flag; } static bool IsNonnegative( const Self & a) { bool flag = false; for (unsigned int i=0; i < GetLength( a ); i++) { if ( ! (a[i] < 0.0 )) { flag = true; } } return flag; } static ITK_CONSTEXPR_VAR bool IsSigned = NumericTraits< ValueType >::IsSigned; static ITK_CONSTEXPR_VAR bool IsInteger = NumericTraits< ValueType >::IsInteger; static ITK_CONSTEXPR_VAR bool IsComplex = NumericTraits< ValueType >::IsComplex; /** Resize the input vector to the specified size. */ static void SetLength(VariableLengthVector< T > & m, const unsigned int s) { m.SetSize(s); m.Fill(NumericTraits< T >::ZeroValue()); } /** Return the size of the vector. */ static unsigned int GetLength(const VariableLengthVector< T > & m) { return m.GetSize(); } static void AssignToArray( const Self & v, MeasurementVectorType & mv ) { mv = v; } template static void AssignToArray( const Self & v, TArray & mv ) { for( unsigned int i=0; i::ZeroValue()); return b; } /** \deprecated use OneValue() instead */ itkLegacyMacro(static const Self One(const Self & a)) { Self b( a.Size() ); b.Fill(NumericTraits< T >::OneValue()); return b; } #endif }; } // end namespace itk #endif // itkNumericTraitsVariableLengthVector_h