File: itkConstrainedValueAdditionImageFilter.h

package info (click to toggle)
insighttoolkit5 5.4.4-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 704,404 kB
  • sloc: cpp: 783,697; ansic: 628,724; xml: 44,704; fortran: 34,250; python: 22,874; sh: 4,078; pascal: 2,636; lisp: 2,158; makefile: 461; yacc: 328; asm: 205; perl: 203; lex: 146; tcl: 132; javascript: 98; csh: 81
file content (132 lines) | stat: -rw-r--r-- 4,831 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *         https://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 itkConstrainedValueAdditionImageFilter_h
#define itkConstrainedValueAdditionImageFilter_h

#include "itkBinaryGeneratorImageFilter.h"
#include "itkNumericTraits.h"

namespace itk
{
namespace Functor
{
/**
 * \class ConstrainedValueAddition
 * \brief
 * \ingroup ITKImageIntensity
 */
template <typename TInput1, typename TInput2, typename TOutput>
class ConstrainedValueAddition
{
public:
  bool
  operator==(const ConstrainedValueAddition &) const
  {
    return true;
  }

  ITK_UNEQUAL_OPERATOR_MEMBER_FUNCTION(ConstrainedValueAddition);

  inline TOutput
  operator()(const TInput1 & A, const TInput2 & B) const
  {
    const auto   dA = static_cast<double>(A);
    const auto   dB = static_cast<double>(B);
    const double add = dA + dB;
    const double cadd1 = (add < NumericTraits<TOutput>::max()) ? add : NumericTraits<TOutput>::max();
    const double cadd2 =
      (cadd1 > NumericTraits<TOutput>::NonpositiveMin()) ? cadd1 : NumericTraits<TOutput>::NonpositiveMin();

    return static_cast<TOutput>(cadd2);
  }
};
} // namespace Functor

/** \class ConstrainedValueAdditionImageFilter
 * \brief Implements pixel-wise the computation of constrained value addition.
 *
 * This filter is templated over the types of the two
 * input images and the type of the output image.
 *
 * Numeric conversions (castings) are done by the C++ defaults.
 *
 * The filter will walk over all the pixels in the two input images, and for
 * each one of them it will do the following:
 *
 * \li cast the input 1 pixel value to \c double
 * \li cast the input 2 pixel value to \c double
 * \li compute the addition of the two pixel values
 * \li compute the constrained value (constrained to be between the
 *   NonpositiveMin and max of the output pixel type)
 * \li cast the \c double value resulting from \c the constrained value
 *   to the pixel type of the output image
 * \li store the cast value into the output image.
 *
 * The filter expects all images to have the same dimension
 * (e.g. all 2D, or all 3D, or all ND)
 *
 * \author Lino Ramirez. Dept. of Electrical and Computer
 * Engineering. University of Alberta. Canada
 *
 * \ingroup IntensityImageFilters
 * \ingroup MultiThreaded
 * \ingroup ITKImageIntensity
 */
template <typename TInputImage1, typename TInputImage2, typename TOutputImage>
class ITK_TEMPLATE_EXPORT ConstrainedValueAdditionImageFilter
  : public BinaryGeneratorImageFilter<TInputImage1, TInputImage2, TOutputImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(ConstrainedValueAdditionImageFilter);

  /** Standard class type aliases. */
  using Self = ConstrainedValueAdditionImageFilter;
  using Superclass = BinaryGeneratorImageFilter<TInputImage1, TInputImage2, TOutputImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
  using FunctorType = Functor::ConstrainedValueAddition<typename TInputImage1::PixelType,
                                                        typename TInputImage2::PixelType,
                                                        typename TOutputImage::PixelType>;

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** \see LightObject::GetNameOfClass() */
  itkOverrideGetNameOfClassMacro(ConstrainedValueAdditionImageFilter);

#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(Input1ConvertibleToDoubleCheck, (Concept::Convertible<typename TInputImage1::PixelType, double>));
  itkConceptMacro(Input2ConvertibleToDoubleCheck, (Concept::Convertible<typename TInputImage2::PixelType, double>));
  itkConceptMacro(DoubleConvertibleToOutputCastCheck, (Concept::Convertible<double, typename TOutputImage::PixelType>));
  itkConceptMacro(DoubleLessThanOutputCheck, (Concept::LessThanComparable<double, typename TOutputImage::PixelType>));
  // End concept checking
#endif

protected:
  ConstrainedValueAdditionImageFilter()
  {
#if !defined(ITK_WRAPPING_PARSER)
    Superclass::SetFunctor(FunctorType());
#endif
  }
  ~ConstrainedValueAdditionImageFilter() override = default;
};
} // end namespace itk

#endif