File: itkAbsoluteValueDifferenceImageFilterTest.cxx

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 (153 lines) | stat: -rw-r--r-- 4,474 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
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
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/

#include "itkAbsoluteValueDifferenceImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkTestingMacros.h"


int
itkAbsoluteValueDifferenceImageFilterTest(int, char *[])
{

  // Define the dimension of the images
  constexpr unsigned int myDimension = 3;

  // Define the values of the input images
  constexpr float input1Value = 3.0;
  constexpr float input2Value = 4.0;

  // Define the values of the output images
  constexpr float outputValue = 1.0;

  // Define the precision for output comparison
  const float epsilon = 1e-6;

  // Declare the types of the images
  using myImageType1 = itk::Image<float, myDimension>;
  using myImageType2 = itk::Image<float, myDimension>;
  using myImageType4 = itk::Image<float, myDimension>;

  // Declare the type of the index to access images
  using myIndexType = itk::Index<myDimension>;

  // Declare the type of the size
  using mySizeType = itk::Size<myDimension>;

  // Declare the type of the Region
  using myRegionType = itk::ImageRegion<myDimension>;

  // Create two images
  auto inputImageA = myImageType1::New();
  auto inputImageB = myImageType2::New();

  // Define their size, and start index
  mySizeType size;
  size[0] = 2;
  size[1] = 2;
  size[2] = 2;

  myIndexType start;
  start[0] = 0;
  start[1] = 0;
  start[2] = 0;

  myRegionType region{ start, size };

  // Initialize Image A
  inputImageA->SetRegions(region);
  inputImageA->Allocate();

  // Initialize Image B
  inputImageB->SetRegions(region);
  inputImageB->Allocate();

  // Declare Iterator types apropriated for each image
  using myIteratorType1 = itk::ImageRegionIteratorWithIndex<myImageType1>;
  using myIteratorType2 = itk::ImageRegionIteratorWithIndex<myImageType2>;
  using myIteratorType4 = itk::ImageRegionIteratorWithIndex<myImageType4>;

  // Create one iterator for Image A (this is a light object)
  myIteratorType1 it1(inputImageA, inputImageA->GetBufferedRegion());

  // Initialize the content of Image A
  std::cout << "First operand " << std::endl;
  while (!it1.IsAtEnd())
  {
    it1.Set(input1Value);
    std::cout << it1.Get() << std::endl;
    ++it1;
  }

  // Create one iterator for Image B (this is a light object)
  myIteratorType2 it2(inputImageB, inputImageB->GetBufferedRegion());

  // Initialize the content of Image B
  std::cout << "Second operand " << std::endl;
  while (!it2.IsAtEnd())
  {
    it2.Set(input2Value);
    std::cout << it2.Get() << std::endl;
    ++it2;
  }


  // Declare the type for the filter
  using myFilterType = itk::AbsoluteValueDifferenceImageFilter<myImageType1, myImageType2, myImageType4>;


  // Create the filter
  auto filter = myFilterType::New();

  ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, AbsoluteValueDifferenceImageFilter, BinaryGeneratorImageFilter);


  // Connect the input images
  filter->SetInput1(inputImageA);
  filter->SetInput2(inputImageB);

  // Get the Smart Pointer to the Filter Output
  myImageType4::Pointer outputImage = filter->GetOutput();


  // Execute the filter
  filter->Update();

  // Create an iterator for going through the image output
  myIteratorType4 it4(outputImage, outputImage->GetBufferedRegion());

  // Print the content of the result image
  std::cout << " Result " << std::endl;
  while (!it4.IsAtEnd())
  {
    std::cout << it4.Get() << std::endl;
    if (itk::Math::abs(it4.Get() - outputValue) > epsilon)
    {
      std::cerr << "Error in the output" << std::endl;
      std::cerr << "Value should be  " << outputValue << std::endl;
      std::cerr << "but is           " << it4.Get() << std::endl;
      return EXIT_FAILURE;
    }

    ++it4;
  }


  // All objects should be automatically destroyed at this point
  return EXIT_SUCCESS;
}