File: itkBinaryReconstructionByErosionImageFilterTest.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 (85 lines) | stat: -rw-r--r-- 2,855 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
/*=========================================================================
 *
 *  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 "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"

#include "itkBinaryReconstructionByErosionImageFilter.h"
#include "itkTestingMacros.h"

int
itkBinaryReconstructionByErosionImageFilterTest(int argc, char * argv[])
{
  if (argc != 7)
  {
    std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
    std::cerr << " mask marker output fg bg fullyConnected";
    std::cerr << std::endl;
    return EXIT_FAILURE;
  }

  constexpr unsigned int dim = 3;

  using PixelType = unsigned char;

  using ImageType = itk::Image<PixelType, dim>;

  using ReaderType = itk::ImageFileReader<ImageType>;
  auto reader = ReaderType::New();
  reader->SetFileName(argv[1]);

  auto reader2 = ReaderType::New();
  reader2->SetFileName(argv[2]);

  using LabelReconstructionType = itk::BinaryReconstructionByErosionImageFilter<ImageType>;
  auto reconstruction = LabelReconstructionType::New();

  ITK_EXERCISE_BASIC_OBJECT_METHODS(reconstruction, BinaryReconstructionByErosionImageFilter, ImageToImageFilter);


  // testing get and set macros for Lambda
  int fg = std::stoi(argv[4]);
  reconstruction->SetForegroundValue(fg);
  ITK_TEST_SET_GET_VALUE(fg, reconstruction->GetForegroundValue());

  int bg = std::stoi(argv[5]);
  reconstruction->SetBackgroundValue(bg);
  ITK_TEST_SET_GET_VALUE(bg, reconstruction->GetBackgroundValue());

  auto fullyConnected = static_cast<bool>(std::stoi(argv[6]));
  ITK_TEST_SET_GET_BOOLEAN(reconstruction, FullyConnected, fullyConnected);


  reconstruction->SetMaskImage(reader->GetOutput());
  reconstruction->SetInput("MaskImage", reader->GetOutput());
  reconstruction->SetMarkerImage(reader2->GetOutput());
  reconstruction->SetInput("MarkerImage", reader2->GetOutput());

  itk::SimpleFilterWatcher watcher(reconstruction, "filter");

  using WriterType = itk::ImageFileWriter<ImageType>;

  auto writer = WriterType::New();
  writer->SetInput(reconstruction->GetOutput());
  writer->SetFileName(argv[3]);
  writer->UseCompressionOn();

  ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());

  return EXIT_SUCCESS;
}