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ENH: Increase coverage for
itk::RoundImageFilter
Increase coverage for `itk::RoundImageFilter`: - Exercise basic object methods using the `ITK_EXERCISE_BASIC_OBJECT_METHODS` macro. - Test the output of the filter.
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Modules/Filtering/ImageIntensity/test/itkRoundImageFilterTest.cxx
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/*========================================================================= | ||
* | ||
* 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. | ||
* | ||
*=========================================================================*/ | ||
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#include "itkImageRegionIterator.h" | ||
#include "itkMath.h" | ||
#include "itkRandomImageSource.h" | ||
#include "itkRoundImageFilter.h" | ||
#include "itkTestingMacros.h" | ||
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int | ||
itkRoundImageFilterTest(int, char *[]) | ||
{ | ||
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constexpr unsigned int Dimension = 2; | ||
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using InputPixelType = float; | ||
using OutputPixelType = int; | ||
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using InputImageType = itk::Image<InputPixelType, Dimension>; | ||
using OutputImageType = itk::Image<OutputPixelType, Dimension>; | ||
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using ImageSourceType = itk::RandomImageSource<InputImageType>; | ||
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using FilterType = itk::RoundImageFilter<InputImageType, OutputImageType>; | ||
auto roundImageFilter = FilterType::New(); | ||
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ITK_EXERCISE_BASIC_OBJECT_METHODS(roundImageFilter, RoundImageFilter, UnaryGeneratorImageFilter); | ||
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// Create a random image | ||
auto randomImageSource = ImageSourceType::New(); | ||
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const InputImageType::SizeType size{ { 10, 10 } }; | ||
randomImageSource->SetSize(size); | ||
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randomImageSource->SetMin(0.0); | ||
randomImageSource->SetMax(10.0); | ||
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randomImageSource->SetNumberOfWorkUnits(1); | ||
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roundImageFilter->SetInput(randomImageSource->GetOutput()); | ||
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ITK_TRY_EXPECT_NO_EXCEPTION(roundImageFilter->Update()); | ||
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itk::ImageRegionIterator<InputImageType> it1(randomImageSource->GetOutput(), | ||
randomImageSource->GetOutput()->GetLargestPossibleRegion()); | ||
itk::ImageRegionIterator<OutputImageType> it2(roundImageFilter->GetOutput(), | ||
roundImageFilter->GetOutput()->GetLargestPossibleRegion()); | ||
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it1.GoToBegin(); | ||
it2.GoToBegin(); | ||
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while (!it1.IsAtEnd() || !it2.IsAtEnd()) | ||
{ | ||
ITK_TEST_EXPECT_EQUAL(itk::Math::Round<OutputImageType::ValueType>(it1.Get()), it2.Get()); | ||
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++it1; | ||
++it2; | ||
} | ||
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std::cout << "Test finished." << std::endl; | ||
return EXIT_SUCCESS; | ||
} |