File: itkImageVectorOptimizerParametersHelperTest.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 (161 lines) | stat: -rw-r--r-- 5,189 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
/*=========================================================================
 *
 *  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 "itkOptimizerParameters.h"
#include "itkImageVectorOptimizerParametersHelper.h"
#include "itkTestingMacros.h"
#include "itkMath.h"

namespace
{

using ValueType = double;
constexpr itk::SizeValueType ImageDimension = 2;
constexpr itk::SizeValueType VectorDimension = 4;
using VectorPixelType = itk::Vector<ValueType, VectorDimension>;
using ImageVectorType = itk::Image<VectorPixelType, ImageDimension>;
using ImageVectorPointer = ImageVectorType::Pointer;
using RegionType = ImageVectorType::RegionType;
using SizeType = RegionType::SizeType;
using IndexType = ImageVectorType::IndexType;
using VectorPixelContainer = ImageVectorType::PixelContainer;
using OptimizerParametersType = itk::OptimizerParameters<ValueType>;
using ImageVectorOptimizerParametersHelperType =
  itk::ImageVectorOptimizerParametersHelper<ValueType, VectorDimension, ImageDimension>;

int
testMemoryAccess(OptimizerParametersType & params, ImageVectorPointer imageOfVectors, itk::SizeValueType dimLength)
{
  int result = EXIT_SUCCESS;

  for (itk::SizeValueType y = 0; y < dimLength; ++y)
  {
    for (itk::SizeValueType x = 0; x < dimLength; ++x)
    {
      IndexType index;
      index[0] = x;
      index[1] = y;

      // The image index returns a N-dim vector, so have to check each
      // element against the values returned by parameter object.
      itk::OffsetValueType offset = (x + y * dimLength) * VectorDimension;
      VectorPixelType      vectorpixel = imageOfVectors->GetPixel(index);
      for (itk::SizeValueType ind = 0; ind < VectorDimension; ++ind)
      {
        ValueType paramsValue = params[offset + ind];
        if (itk::Math::NotExactlyEquals(vectorpixel[ind], paramsValue))
        {
          std::cout << "VectorImage pixel value does not match params value."
                    << "vectorpixel[" << ind << "]: " << vectorpixel[ind] << std::endl
                    << "params[" << offset + ind << "]: " << paramsValue << std::endl;
          result = EXIT_FAILURE;
        }
      }
    }
  }
  return result;
}

} // namespace

/******************************************************/

int
itkImageVectorOptimizerParametersHelperTest(int, char *[])
{
  int result = EXIT_SUCCESS;

  ImageVectorPointer imageOfVectors = ImageVectorType::New();

  IndexType start;
  start.Fill(0);

  SizeType      size;
  constexpr int dimLength = 3;
  size.Fill(dimLength);

  RegionType region{ start, size };

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

  ImageVectorType::PointType   origin;
  ImageVectorType::SpacingType spacing;

  origin.Fill(0.0);
  spacing.Fill(1.0);

  imageOfVectors->SetOrigin(origin);
  imageOfVectors->SetSpacing(spacing);

  ValueType       vectorinitvalues[VectorDimension] = { 0.0, 0.1, 0.2, 0.3 };
  VectorPixelType vectorvalues(vectorinitvalues);

  //
  // Fill up the image values with the function
  //
  //   Intensity = f(x,y) = x + 3 * y
  //
  //
  for (int y = 0; y < dimLength; ++y)
  {
    for (int x = 0; x < dimLength; ++x)
    {
      IndexType index;
      index[0] = x;
      index[1] = y;

      const ValueType value = x + y * dimLength;

      VectorPixelType & vectorpixel = imageOfVectors->GetPixel(index);
      vectorpixel.Fill(value);
      vectorpixel += vectorvalues;

      std::cout << value << ' ';
    }
    std::cout << std::endl;
  }

  // Create a parameter object and assign the ImageVector helper.
  OptimizerParametersType params;
  auto *                  imageVectorParamsHelper = new ImageVectorOptimizerParametersHelperType;
  // Assign the helper to the parameter object.
  // OptimizerParameters object will manage the helper once its been set.
  params.SetHelper(imageVectorParamsHelper);
  // Set the image in the helper. It will point the parameter data pointer
  // to the image data.
  params.SetParametersObject(imageOfVectors);

  result = testMemoryAccess(params, imageOfVectors, dimLength);

  // Test MoveDataPointer
  itk::Array<ValueType> array(imageOfVectors->GetPixelContainer()->Size());
  array.Fill(1.23);
  params.MoveDataPointer(array.data_block());

  // Test null image pointer
  params.SetParametersObject(nullptr);
  ITK_TRY_EXPECT_EXCEPTION(params.MoveDataPointer(array.data_block()));

  // Test setting an image of wrong type
  using BadImageType = itk::Image<char, 2>;
  auto badImage = BadImageType::New();
  ITK_TRY_EXPECT_EXCEPTION(params.SetParametersObject(badImage));

  return result;
}