File: itkMedianImageFunction.hxx

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 (82 lines) | stat: -rw-r--r-- 2,619 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
77
78
79
80
81
82
/*=========================================================================
 *
 *  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 itkMedianImageFunction_hxx
#define itkMedianImageFunction_hxx

#include "itkImage.h"
#include "itkShapedImageNeighborhoodRange.h"

#include <vector>
#include <algorithm>

namespace itk
{

template <typename TInputImage, typename TCoordRep>
MedianImageFunction<TInputImage, TCoordRep>::MedianImageFunction() = default;

template <typename TInputImage, typename TCoordRep>
void
MedianImageFunction<TInputImage, TCoordRep>::SetNeighborhoodRadius(const unsigned int radius)
{
  if (m_NeighborhoodRadius != radius)
  {
    m_NeighborhoodOffsets = GenerateRectangularImageNeighborhoodOffsets(ImageSizeType::Filled(radius));
    m_NeighborhoodRadius = radius;
    this->Modified();
  }
}

template <typename TInputImage, typename TCoordRep>
void
MedianImageFunction<TInputImage, TCoordRep>::PrintSelf(std::ostream & os, Indent indent) const
{
  this->Superclass::PrintSelf(os, indent);
  os << indent << "NeighborhoodRadius: " << m_NeighborhoodRadius << std::endl;
}

template <typename TInputImage, typename TCoordRep>
auto
MedianImageFunction<TInputImage, TCoordRep>::EvaluateAtIndex(const IndexType & index) const -> OutputType
{
  const InputImageType * const image = this->GetInputImage();

  if (image == nullptr)
  {
    return (NumericTraits<OutputType>::max());
  }

  if (!this->IsInsideBuffer(index))
  {
    return (NumericTraits<OutputType>::max());
  }

  const ShapedImageNeighborhoodRange<const InputImageType> neighborhoodRange(*image, index, m_NeighborhoodOffsets);

  // We have to copy the pixels so we can run std::nth_element.
  std::vector<InputPixelType> pixels(neighborhoodRange.cbegin(), neighborhoodRange.cend());

  // Get the median value
  const auto medianIterator = pixels.begin() + (pixels.size() / 2);
  std::nth_element(pixels.begin(), medianIterator, pixels.end());

  return (*medianIterator);
}
} // namespace itk

#endif