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
|
/*=========================================================================
*
* 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 "itkIntensityWindowingImageFilter.h"
#include "itkMath.h"
#include "itkNumericTraits.h"
#include "itkRandomImageSource.h"
#include "itkTestingMacros.h"
int
itkIntensityWindowingImageFilterTest(int, char *[])
{
constexpr unsigned int Dimension = 3;
using PixelType = float;
using TestInputImage = itk::Image<PixelType, Dimension>;
using TestOutputImage = itk::Image<PixelType, Dimension>;
TestInputImage::RegionType region;
TestInputImage::SizeType size;
size.Fill(64);
TestInputImage::IndexType index;
index.Fill(0);
region.SetIndex(index);
region.SetSize(size);
using FilterType = itk::IntensityWindowingImageFilter<TestInputImage, TestOutputImage>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, IntensityWindowingImageFilter, UnaryFunctorImageFilter);
// Generate a real image
using SourceType = itk::RandomImageSource<TestInputImage>;
auto source = SourceType::New();
TestInputImage::SizeValueType randomSize[3] = { 17, 8, 20 };
// Set up source
source->SetSize(randomSize);
double minValue = -128.0;
double maxValue = 127.0;
source->SetMin(static_cast<TestInputImage::PixelType>(minValue));
source->SetMax(static_cast<TestInputImage::PixelType>(maxValue));
filter->SetInput(source->GetOutput());
const double desiredMinimum = -1.0;
constexpr double desiredMaximum = 1.0;
const float windowMinimum = -50.0f;
const float windowMaximum = 50.0f;
filter->SetOutputMinimum(desiredMinimum);
ITK_TEST_SET_GET_VALUE(desiredMinimum, filter->GetOutputMinimum());
filter->SetOutputMaximum(desiredMaximum);
ITK_TEST_SET_GET_VALUE(desiredMaximum, filter->GetOutputMaximum());
filter->SetWindowMinimum(windowMinimum);
ITK_TEST_SET_GET_VALUE(windowMinimum, filter->GetWindowMinimum());
filter->SetWindowMaximum(windowMaximum);
ITK_TEST_SET_GET_VALUE(windowMaximum, filter->GetWindowMaximum());
std::cout << "Window minimum:maximum = " << windowMinimum << ':' << windowMaximum << ", equivalent window:level = "
<< static_cast<itk::NumericTraits<FilterType::InputPixelType>::PrintType>(filter->GetWindow()) << ':'
<< static_cast<itk::NumericTraits<FilterType::InputPixelType>::PrintType>(filter->GetLevel()) << std::endl;
std::cout << "Gray level linear transformation scale = "
<< static_cast<itk::NumericTraits<FilterType::RealType>::PrintType>(filter->GetScale())
<< ", shift = " << static_cast<itk::NumericTraits<FilterType::RealType>::PrintType>(filter->GetShift())
<< std::endl;
ITK_TRY_EXPECT_NO_EXCEPTION(filter->UpdateLargestPossibleRegion());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->SetFunctor(filter->GetFunctor()));
using CalculatorType = itk::MinimumMaximumImageCalculator<TestOutputImage>;
auto calculator = CalculatorType::New();
calculator->SetImage(filter->GetOutput());
calculator->Compute();
const double tolerance = 1e-7;
const double obtainedMinimum = calculator->GetMinimum();
const double obtainedMaximum = calculator->GetMaximum();
if (!itk::Math::FloatAlmostEqual(obtainedMinimum, desiredMinimum, 10, tolerance))
{
std::cerr.precision(static_cast<int>(itk::Math::abs(std::log10(tolerance))));
std::cerr << "Error in minimum" << std::endl;
std::cerr << "Expected minimum = " << desiredMinimum << std::endl;
std::cerr << "Obtained minimum = " << obtainedMinimum << std::endl;
return EXIT_FAILURE;
}
if (!itk::Math::FloatAlmostEqual(obtainedMaximum, desiredMaximum, 10, tolerance))
{
std::cerr.precision(static_cast<int>(itk::Math::abs(std::log10(tolerance))));
std::cerr << "Error in maximum" << std::endl;
std::cerr << "Expected maximum = " << desiredMaximum << std::endl;
std::cerr << "Obtained maximum = " << obtainedMaximum << std::endl;
return EXIT_FAILURE;
}
const float window = 50.0f;
const float level = 50.0f;
filter->SetWindowLevel(window, level);
std::cout << "Window:level = "
<< static_cast<itk::NumericTraits<FilterType::InputPixelType>::PrintType>(filter->GetWindow()) << ':'
<< static_cast<itk::NumericTraits<FilterType::InputPixelType>::PrintType>(filter->GetLevel())
<< ", equivalent window minimum:maximum = "
<< static_cast<itk::NumericTraits<FilterType::InputPixelType>::PrintType>(filter->GetWindowMinimum()) << ':'
<< static_cast<itk::NumericTraits<FilterType::InputPixelType>::PrintType>(filter->GetWindowMaximum())
<< std::endl;
ITK_TRY_EXPECT_NO_EXCEPTION(filter->UpdateLargestPossibleRegion());
calculator->Compute();
const double obtainedMinimum2 = calculator->GetMinimum();
const double obtainedMaximum2 = calculator->GetMaximum();
if (!itk::Math::FloatAlmostEqual(obtainedMinimum2, desiredMinimum, 10, tolerance))
{
std::cerr.precision(static_cast<int>(itk::Math::abs(std::log10(tolerance))));
std::cerr << "Error in minimum" << std::endl;
std::cerr << "Expected minimum = " << desiredMinimum << std::endl;
std::cerr << "Obtained minimum = " << obtainedMinimum2 << std::endl;
return EXIT_FAILURE;
}
if (!itk::Math::FloatAlmostEqual(obtainedMaximum2, desiredMaximum, 10, tolerance))
{
std::cerr.precision(static_cast<int>(itk::Math::abs(std::log10(tolerance))));
std::cerr << "Error in maximum" << std::endl;
std::cerr << "Expected maximum = " << desiredMaximum << std::endl;
std::cerr << "Obtained maximum = " << obtainedMaximum2 << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test PASSED ! " << std::endl;
return EXIT_SUCCESS;
}
|
