File: itkEigenAnalysis2DImageFilterTest.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 (211 lines) | stat: -rw-r--r-- 6,278 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
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
/*=========================================================================
 *
 *  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 "itkEigenAnalysis2DImageFilter.h"
#include "itkSimpleFilterWatcher.h"

template <unsigned int myDimension = 2,
          typename TComputeType = double,
          typename myVectorType = itk::Vector<TComputeType, myDimension>>
class EigenAnalysis2DImageFilterTester
{
  // Define the dimension of the images
  // Declare type for Eigen Vectors

  // Declare the types of the images
  using myImageType = itk::Image<TComputeType, myDimension>;
  using myVectorImageType = itk::Image<myVectorType, 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>;


  // Declare Iterator types apropriated for each image
  using myIteratorType = itk::ImageRegionIteratorWithIndex<myImageType>;
  using myVectorIteratorType = itk::ImageRegionIteratorWithIndex<myVectorImageType>;


  // Declare the Filter
  using myFilterType = itk::EigenAnalysis2DImageFilter<myImageType, myImageType, myVectorImageType>;

  // Function for image initialization
  void
  InitializeImage(myImageType * image, double value)
  {

    typename myImageType::Pointer inputImage(image);

    // Define their size, and start index
    mySizeType size;
    size.Fill(2);

    myIndexType start;
    start.Fill(0);

    myRegionType region{ start, size };

    inputImage->SetRegions(region);
    inputImage->Allocate();

    myIteratorType it(inputImage, inputImage->GetRequestedRegion());

    it.GoToBegin();
    while (!it.IsAtEnd())
    {
      it.Set(value);
      ++it;
    }
  }

  // Function for image printing
  void
  PrintImage(myImageType * image, const char * text)
  {

    typename myImageType::Pointer imagePtr(image);

    // Create an iterator for going through the image
    myIteratorType it(imagePtr, imagePtr->GetRequestedRegion());

    it.GoToBegin();

    // Print the content of the image
    std::cout << text << std::endl;
    while (!it.IsAtEnd())
    {
      std::cout << it.Get() << std::endl;
      ++it;
    }
  }


  // Function for image printing
  void
  PrintImage(myVectorImageType * image, const char * text)
  {

    typename myVectorImageType::Pointer imagePtr(image);

    // Create an iterator for going through the image
    myVectorIteratorType it(imagePtr, imagePtr->GetRequestedRegion());

    it.GoToBegin();

    // Print the content of the image
    std::cout << text << std::endl;
    while (!it.IsAtEnd())
    {
      std::cout << it.Get() << std::endl;
      ++it;
    }
  }

public:
  int
  Run()
  {
    // Create the images
    auto inputImageXX = myImageType::New();
    auto inputImageXY = myImageType::New();
    auto inputImageYY = myImageType::New();


    InitializeImage(inputImageXX, std::cos(itk::Math::pi / 6.0));
    InitializeImage(inputImageXY, std::sin(itk::Math::pi / 6.0));
    InitializeImage(inputImageYY, std::cos(itk::Math::pi / 6.0));


    // Create a  Filter
    auto                     filter = myFilterType::New();
    itk::SimpleFilterWatcher watcher(filter);

    // Connect the input images
    filter->SetInput1(inputImageXX);
    filter->SetInput2(inputImageXY);
    filter->SetInput3(inputImageYY);


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

    // Get
    typename myImageType::Pointer maxEigenValue = filter->GetMaxEigenValue();
    typename myImageType::Pointer minEigenValue = filter->GetMinEigenValue();

    typename myVectorImageType::Pointer maxEigenVector = filter->GetMaxEigenVector();

    PrintImage(maxEigenValue, "Max Eigen Value");
    PrintImage(minEigenValue, "Min Eigen Value");
    PrintImage(maxEigenVector, "Max Eigen Vector");

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

int
itkEigenAnalysis2DImageFilterTest(int, char *[])
{
  int status = EXIT_SUCCESS;
  {
    using myComputeType = double;
    constexpr unsigned int myDimension = 2;
    using myVectorType = itk::Vector<myComputeType, 2>;
    auto t1 = EigenAnalysis2DImageFilterTester<myDimension, myComputeType, myVectorType>();
    status |= t1.Run();
  }
  {
    using myComputeType = float;
    constexpr unsigned int myDimension = 2;
    using myVectorType = itk::Vector<myComputeType, 2>;
    auto t1 = EigenAnalysis2DImageFilterTester<myDimension, myComputeType, myVectorType>();
    status |= t1.Run();
  }
  {
    using myComputeType = float;
    constexpr unsigned int myDimension = 3;
    using myVectorType = itk::Vector<myComputeType, 2>;
    auto t1 = EigenAnalysis2DImageFilterTester<myDimension, myComputeType, myVectorType>();
    status |= t1.Run();
  }
  /* The two test below should cause compilation errors.
  {
    using myComputeType = float;
    constexpr unsigned int myDimension = 3;
    <-- ******* error: static assertion failed: Error: PixelType of EigenVector Image must have exactly 2 elements!
    using myVectorType = itk::Vector<myComputeType, 3>;
    auto t1 = EigenAnalysis2DImageFilterTester<myDimension, myComputeType, myVectorType>();
    status |= t1.Run();
  }
  {
    using myComputeType = float;
    constexpr unsigned int myDimension = 3;
    using myVectorType = std::array<myComputeType, 2>;
    <-- ******* error: no type named ‘ValueType’ in ‘using PixelType = struct std::array<float, 2>
    auto t1 = EigenAnalysis2DImageFilterTester<myDimension, myComputeType, myVectorType>();
    status |= t1.Run();
  }
  */
  return status;
}