File: itkManhattanDistanceMetric.h

package info (click to toggle)
insighttoolkit5 5.4.3-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 704,384 kB
  • sloc: cpp: 783,592; ansic: 628,724; xml: 44,704; fortran: 34,250; python: 22,874; sh: 4,078; pascal: 2,636; lisp: 2,158; makefile: 464; yacc: 328; asm: 205; perl: 203; lex: 146; tcl: 132; javascript: 98; csh: 81
file content (76 lines) | stat: -rw-r--r-- 2,274 bytes parent folder | download
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
/*=========================================================================
 *
 *  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 itkManhattanDistanceMetric_h
#define itkManhattanDistanceMetric_h

#include "itkDistanceMetric.h"

namespace itk
{
namespace Statistics
{
/**
 * \class ManhattanDistanceMetric
 * \brief Euclidean distance function.
 *
 * \sa DistanceMetric
 * \sa EuclideanSquareDistanceMetric
 * \sa EuclideanDistanceMetric
 *
 * \ingroup ITKStatistics
 */
template <typename TVector>
class ITK_TEMPLATE_EXPORT ManhattanDistanceMetric : public DistanceMetric<TVector>
{
public:
  /** Standard "Self" type alias. */
  using Self = ManhattanDistanceMetric;
  using Superclass = DistanceMetric<TVector>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  using typename Superclass::MeasurementVectorType;

  using typename Superclass::MeasurementVectorSizeType;

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

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

  /** Gets the distance between the origin and x */
  double
  Evaluate(const MeasurementVectorType & x) const override;

  /** Gets the distance between x1 and x2 */
  double
  Evaluate(const MeasurementVectorType & x1, const MeasurementVectorType & x2) const override;

protected:
  ManhattanDistanceMetric() = default;
  ~ManhattanDistanceMetric() override = default;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkManhattanDistanceMetric.hxx"
#endif

#endif