File: itkWarpImageFilterTest2.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 (183 lines) | stat: -rw-r--r-- 6,818 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
/*=========================================================================
 *
 *  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 <iostream>
#include "itkWarpImageFilter.h"
#include "itkStreamingImageFilter.h"

#include "itkPipelineMonitorImageFilter.h"
#include "itkMath.h"
#include "itkTestingMacros.h"

using ImageType = itk::Image<float, 3>;
using DisplacementFieldType = itk::Image<itk::Vector<double, 3>, 3>;
using WarpFilterType = itk::WarpImageFilter<ImageType, ImageType, DisplacementFieldType>;

using MonitorFilter = itk::PipelineMonitorImageFilter<ImageType>;
#define AllocateImageFromRegionAndSpacing(ImageType, rval, region, spacing) \
  {                                                                         \
    rval = ImageType::New();                                                \
    rval->SetSpacing(spacing);                                              \
    rval->SetRegions(region);                                               \
    rval->Allocate();                                                       \
  }                                                                         \
  ITK_MACROEND_NOOP_STATEMENT

namespace
{

ImageType::Pointer
MakeCheckerboard()
{
  using IteratorType = itk::ImageRegionIterator<ImageType>;
  ImageType::SizeType    size = { { 16, 16, 16 } };
  ImageType::SpacingType spacing;
  spacing[0] = spacing[1] = spacing[2] = 1.0;
  ImageType::IndexType  index = { { 0, 0, 0 } };
  ImageType::RegionType region{ index, size };
  ImageType::Pointer    image;
  AllocateImageFromRegionAndSpacing(ImageType, image, region, spacing);
  image->FillBuffer(0.0);
  for (IteratorType it(image, image->GetLargestPossibleRegion()); !it.IsAtEnd(); ++it)
  {
    ImageType::IndexType ind(it.GetIndex());
    // initially checkboard 4 pixels wide
    int  x = ind[0] / 4;
    int  y = ind[1] / 4;
    int  z = ind[2] / 4;
    bool black(((x & 1) + (y & 1)) & 1);
    if (z & 1)
    {
      black = !black;
    }
    it.Set(black ? 255.0 : 0.0);
  }
  return image;
}

template <long unsigned int TImageIndexSpaceSize>
typename DisplacementFieldType::Pointer
MakeDisplacementField()
{
  using IteratorType = itk::ImageRegionIterator<DisplacementFieldType>;
  const DisplacementFieldType::SizeType size = { { TImageIndexSpaceSize, TImageIndexSpaceSize, TImageIndexSpaceSize } };
  DisplacementFieldType::SpacingType    spacing;
  spacing[0] = spacing[1] = spacing[2] = 16.0 / static_cast<double>(TImageIndexSpaceSize);
  DisplacementFieldType::IndexType  index = { { 0, 0, 0 } };
  DisplacementFieldType::RegionType region{ index, size };
  DisplacementFieldType::Pointer    image;
  AllocateImageFromRegionAndSpacing(DisplacementFieldType, image, region, spacing);
  for (IteratorType it(image, image->GetLargestPossibleRegion()); !it.IsAtEnd(); ++it)
  {
    DisplacementFieldType::PixelType pix;
    for (unsigned int i = 0; i < 3; ++i)
    {
      pix[i] = 1.0;
    }
    it.Set(pix);
  }
  return image;
}

} // namespace

int
itkWarpImageFilterTest2(int, char *[])
{
  // itk::MultiThreaderBase::SetGlobalDefaultNumberOfThreads(1);
  // Make test image
  ImageType::Pointer image = MakeCheckerboard();

  // Make full-res displacement field
  DisplacementFieldType::Pointer defField1 = MakeDisplacementField<16u>();
  // Make half-res displacement field
  DisplacementFieldType::Pointer defField2 = MakeDisplacementField<8u>();

  auto filter = WarpFilterType::New();
  // Test with full res
  filter->SetDisplacementField(defField1);
  filter->SetInput(image);
  filter->SetOutputParametersFromImage(image);
  filter->Update();
  // Save output for later comparison
  ImageType::Pointer result1 = filter->GetOutput();
  // Disconnect to create new output
  result1->DisconnectPipeline();
  // Test with half res
  filter->SetDisplacementField(defField2);
  filter->SetInput(image);
  filter->SetOutputParametersFromImage(image);
  // Enforce re-execution just to be sure
  filter->Modified();
  filter->Update();
  ImageType::Pointer                  result2 = filter->GetOutput();
  itk::ImageRegionIterator<ImageType> it1(result1, result1->GetLargestPossibleRegion()),
    it2(result2, result1->GetLargestPossibleRegion());
  for (it1.GoToBegin(), it2.GoToBegin(); !it1.IsAtEnd() && !it2.IsAtEnd(); ++it1, ++it2)
  {
    if (itk::Math::NotAlmostEquals(it1.Value(), it2.Value()))
    {
      std::cerr << "Test failed!" << std::endl;
      std::cerr << "Error in pixel value at index [" << it1.GetIndex() << "]" << std::endl;
      std::cerr << "Expected value " << it1.Value() << std::endl;
      std::cerr << " differs from " << it2.Value();
      return EXIT_FAILURE;
    }
  }

  ITK_TEST_EXPECT_EQUAL(it1.IsAtEnd(), it2.IsAtEnd());

  // Try streaming
  auto monitor1 = MonitorFilter::New();
  monitor1->SetInput(image);

  auto filter2 = WarpFilterType::New();
  filter2->SetDisplacementField(defField2);
  filter2->SetInput(monitor1->GetOutput());
  filter2->SetOutputParametersFromImage(image);


  auto monitor2 = MonitorFilter::New();
  monitor2->SetInput(filter2->GetOutput());

  using StreamerType = itk::StreamingImageFilter<ImageType, ImageType>;
  auto streamer = StreamerType::New();
  streamer->SetInput(monitor2->GetOutput());
  streamer->SetNumberOfStreamDivisions(4);
  streamer->Update();
  itk::ImageRegionIterator<ImageType> streamIt(streamer->GetOutput(), streamer->GetOutput()->GetBufferedRegion());
  for (streamIt.GoToBegin(), it2.GoToBegin(); !streamIt.IsAtEnd() && !it2.IsAtEnd(); ++streamIt, ++it2)
  {
    if (itk::Math::NotAlmostEquals(streamIt.Value(), it2.Value()))
    {
      std::cerr << "Test failed!" << std::endl;
      std::cerr << "Error in pixel value at index [" << streamIt.GetIndex() << "]" << std::endl;
      std::cerr << "Expected value " << it2.Value() << std::endl;
      std::cerr << " differs from " << streamIt.Value();
      return EXIT_FAILURE;
    }
  }

  ITK_TEST_EXPECT_EQUAL(streamIt.IsAtEnd(), it2.IsAtEnd());

  // Verify that the pipeline was executed as expected along with correct region propagation and output information
  ITK_TEST_EXPECT_TRUE(monitor2->VerifyAllInputCanStream(4));


  std::cout << "Test finished." << std::endl;
  return EXIT_SUCCESS;
}