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
|
/*=========================================================================
*
* 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 "itkBoundedReciprocalImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageRegionConstIterator.h"
#include "itkTestingMacros.h"
int
itkBoundedReciprocalImageFilterTest(int argc, char * argv[])
{
if (argc != 2)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " inputImage" << std::endl;
return EXIT_FAILURE;
}
auto testStatus = EXIT_SUCCESS;
constexpr int Dimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, Dimension>;
using ReciprocalFilterType = itk::BoundedReciprocalImageFilter<ImageType, ImageType>;
auto reciprocalFilter = ReciprocalFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(reciprocalFilter, BoundedReciprocalImageFilter, UnaryGeneratorImageFilter);
const auto inputImage = itk::ReadImage<ImageType>(argv[1]);
reciprocalFilter->SetInput(inputImage);
ITK_TRY_EXPECT_NO_EXCEPTION(reciprocalFilter->Update());
// Check the output image values
auto outputImage = reciprocalFilter->GetOutput();
using ImageIterator = itk::ImageRegionConstIterator<ImageType>;
ImageIterator inIter(inputImage, inputImage->GetBufferedRegion());
ImageIterator outIter(outputImage, outputImage->GetBufferedRegion());
double tolerance = 10e-6;
std::cerr.precision(static_cast<int>(itk::Math::abs(std::log10(tolerance))));
for (; !inIter.IsAtEnd() || !outIter.IsAtEnd(); ++inIter, ++outIter)
{
auto obtainedValue = outIter.Get();
auto expectedValue = static_cast<PixelType>(1.0 / (1.0 + static_cast<double>(inIter.Get())));
if (!itk::Math::FloatAlmostEqual(expectedValue, obtainedValue, 10, tolerance))
{
std::cerr << "Error at index " << inIter.GetIndex() << std::endl;
std::cerr << " output " << obtainedValue << std::endl;
std::cerr << " differs from " << expectedValue;
std::cerr << " by more than " << tolerance << std::endl;
testStatus = EXIT_FAILURE;
}
}
std::cout << "Test finished." << std::endl;
return testStatus;
}
|
