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
|
/*=========================================================================
*
* 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 "itkImageFileWriter.h"
#include "itkTernaryMagnitudeImageFilter.h"
#include "itkTestingMacros.h"
int
itkTernaryMagnitudeImageFilterTest(int argc, char * argv[])
{
if (argc < 2)
{
std::cout << "Usage: " << itkNameOfTestExecutableMacro(argv) << "outputImage " << std::endl;
return EXIT_FAILURE;
}
// Define the dimension of the images
constexpr unsigned int Dimension = 3;
// Define the pixel types
using InputPixelType = float;
using OutputPixelType = unsigned short;
// Declare the types of the images
using InputImage1Type = itk::Image<InputPixelType, Dimension>;
using InputImage2Type = itk::Image<InputPixelType, Dimension>;
using InputImage3Type = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
// Declare the type of the index to access images
using IndexType = itk::Index<Dimension>;
// Declare the type of the size
using SizeType = itk::Size<Dimension>;
// Declare the type of the Region
using RegionType = itk::ImageRegion<Dimension>;
// Create the input images
auto inputImageA = InputImage1Type::New();
auto inputImageB = InputImage2Type::New();
auto inputImageC = InputImage3Type::New();
// Define their size and start index
SizeType size;
size[0] = 2;
size[1] = 2;
size[2] = 2;
IndexType start;
start[0] = 0;
start[1] = 0;
start[2] = 0;
RegionType region;
region.SetIndex(start);
region.SetSize(size);
// Initialize Image A
inputImageA->SetRegions(region);
inputImageA->Allocate();
// Initialize Image B
inputImageB->SetRegions(region);
inputImageB->Allocate();
// Initialize Image C
inputImageC->SetRegions(region);
inputImageC->Allocate();
// Declare Iterator types for each image
using InputImage1IteratorType = itk::ImageRegionIteratorWithIndex<InputImage1Type>;
using InputImage2IteratorType = itk::ImageRegionIteratorWithIndex<InputImage2Type>;
using InputImage3IteratorType = itk::ImageRegionIteratorWithIndex<InputImage3Type>;
// Create one iterator for Image A (this is a light object)
InputImage1IteratorType it1(inputImageA, inputImageA->GetBufferedRegion());
// Initialize the content of Image A
InputImage1Type::PixelType valueA = 2.0;
while (!it1.IsAtEnd())
{
it1.Set(valueA);
++it1;
}
// Create one iterator for Image B (this is a light object)
InputImage2IteratorType it2(inputImageB, inputImageB->GetBufferedRegion());
// Initialize the content of Image B
InputImage2Type::PixelType valueB = 3.0;
while (!it2.IsAtEnd())
{
it2.Set(valueB);
++it2;
}
// Create one iterator for Image C (this is a light object)
InputImage3IteratorType it3(inputImageC, inputImageC->GetBufferedRegion());
// Initialize the content of Image C
InputImage3Type::PixelType valueC = 4.0;
while (!it3.IsAtEnd())
{
it3.Set(valueC);
++it3;
}
using TernaryMagnitudeImageFilterType =
itk::TernaryMagnitudeImageFilter<InputImage1Type, InputImage2Type, InputImage3Type, OutputImageType>;
// Create the filter
auto filter = TernaryMagnitudeImageFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, TernaryMagnitudeImageFilter, TernaryGeneratorImageFilter);
// Set the input images
filter->SetInput1(inputImageA);
filter->SetInput2(inputImageB);
filter->SetInput3(inputImageC);
// Execute the filter
filter->Update();
// Get the filter output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Write the result image
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[1]);
writer->SetInput(outputImage);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
// All objects should be automatically destroyed at this point
return EXIT_SUCCESS;
}
|
