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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.
*
*=========================================================================*/
#include "itkImageFileReader.h"
#include "itkLabelOverlapMeasuresImageFilter.h"
#include "itkTestingMacros.h"
#include <iomanip>
template <unsigned int VImageDimension>
int
LabelOverlapMeasures(int, char * argv[])
{
using PixelType = unsigned int;
using ImageType = itk::Image<PixelType, VImageDimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader1 = ReaderType::New();
reader1->SetFileName(argv[2]);
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[3]);
using FilterType = itk::LabelOverlapMeasuresImageFilter<ImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, LabelOverlapMeasuresImageFilter, ImageToImageFilter);
filter->SetSourceImage(reader1->GetOutput());
filter->SetTargetImage(reader2->GetOutput());
filter->Update();
std::cout << "All Labels" << std::endl;
std::cout << std::setw(10) << " " << std::setw(17) << "Total" << std::setw(17) << "Union (jaccard)" << std::setw(17)
<< "Mean (dice)" << std::setw(17) << "Volume sim." << std::setw(17) << "False negative" << std::setw(17)
<< "False positive" << std::setw(17) << "False discovery" << std::endl;
std::cout << std::setw(10) << " ";
std::cout << std::setw(17) << filter->GetTotalOverlap();
std::cout << std::setw(17) << filter->GetUnionOverlap();
std::cout << std::setw(17) << filter->GetMeanOverlap();
std::cout << std::setw(17) << filter->GetVolumeSimilarity();
std::cout << std::setw(17) << filter->GetFalseNegativeError();
std::cout << std::setw(17) << filter->GetFalsePositiveError();
std::cout << std::setw(17) << filter->GetFalseDiscoveryRate();
std::cout << std::endl;
std::cout << "Individual Labels" << std::endl;
std::cout << std::setw(10) << "Label" << std::setw(17) << "Target" << std::setw(17) << "Union (jaccard)"
<< std::setw(17) << "Mean (dice)" << std::setw(17) << "Volume sim." << std::setw(17) << "False negative"
<< std::setw(17) << "False positive" << std::setw(17) << "False discovery" << std::endl;
typename FilterType::MapType labelMap = filter->GetLabelSetMeasures();
typename FilterType::MapType::const_iterator it;
int label = 0;
for (it = labelMap.begin(); it != labelMap.end(); ++it)
{
if (it->first == 0)
{
continue;
}
label = it->first;
std::cout << std::setw(10) << label;
std::cout << std::setw(17) << filter->GetTargetOverlap(label);
std::cout << std::setw(17) << filter->GetUnionOverlap(label);
std::cout << std::setw(17) << filter->GetMeanOverlap(label);
std::cout << std::setw(17) << filter->GetVolumeSimilarity(label);
std::cout << std::setw(17) << filter->GetFalseNegativeError(label);
std::cout << std::setw(17) << filter->GetFalsePositiveError(label);
std::cout << std::setw(17) << filter->GetFalseDiscoveryRate(label);
std::cout << std::endl;
}
// Check results when a non-existing label's metrics are queried
//
// Assume that no such label exists
label = itk::NumericTraits<PixelType>::max();
typename FilterType::RealType expectedValue = 0.0;
typename FilterType::RealType result = filter->GetTargetOverlap(label);
if (itk::Math::NotAlmostEquals(expectedValue, result))
{
std::cout << "Error in label " << static_cast<itk::NumericTraits<PixelType>::PrintType>(label) << ": ";
std::cout << "Expected target overlap: " << expectedValue << ", but got " << result << std::endl;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
result = filter->GetUnionOverlap(label);
if (itk::Math::NotAlmostEquals(expectedValue, result))
{
std::cout << "Error in label " << static_cast<itk::NumericTraits<PixelType>::PrintType>(label) << ": ";
std::cout << "Expected union overlap: " << expectedValue << ", but got " << result << std::endl;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
result = filter->GetVolumeSimilarity(label);
if (itk::Math::NotAlmostEquals(expectedValue, result))
{
std::cout << "Error in label " << static_cast<itk::NumericTraits<PixelType>::PrintType>(label) << ": ";
std::cout << "Expected volume similarity: " << expectedValue << ", but got " << result << std::endl;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
result = filter->GetFalseNegativeError(label);
if (itk::Math::NotAlmostEquals(expectedValue, result))
{
std::cout << "Error in label " << static_cast<itk::NumericTraits<PixelType>::PrintType>(label) << ": ";
std::cout << "Expected false negative error: " << expectedValue << ", but got " << result << std::endl;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
result = filter->GetFalsePositiveError(label);
if (itk::Math::NotAlmostEquals(expectedValue, result))
{
std::cout << "Error in label " << static_cast<itk::NumericTraits<PixelType>::PrintType>(label) << ": ";
std::cout << "Expected false positive error: " << expectedValue << ", but got " << result << std::endl;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
result = filter->GetFalseDiscoveryRate(label);
if (itk::Math::NotAlmostEquals(expectedValue, result))
{
std::cout << "Error in label " << static_cast<itk::NumericTraits<PixelType>::PrintType>(label) << ": ";
std::cout << "Expected false discovery rate: " << expectedValue << ", but got " << result << std::endl;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
int
itkLabelOverlapMeasuresImageFilterTest(int argc, char * argv[])
{
if (argc < 4)
{
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " imageDimension sourceImage "
<< "targetImage" << std::endl;
return EXIT_FAILURE;
}
// Instantiate the filter
constexpr unsigned int ImageDimension = 3;
using PixelType = unsigned int;
using ImageType = itk::Image<PixelType, ImageDimension>;
using LabelOverlapMeasuresImageFilterType = itk::LabelOverlapMeasuresImageFilter<ImageType>;
LabelOverlapMeasuresImageFilterType::Pointer labelOverlapMeasuresImageFilter =
LabelOverlapMeasuresImageFilterType::New();
// Exercise basic object methods
// Done outside the helper function in the test because GCC is limited
// when calling overloaded base class functions.
ITK_EXERCISE_BASIC_OBJECT_METHODS(labelOverlapMeasuresImageFilter, LabelOverlapMeasuresImageFilter, ImageSink);
switch (std::stoi(argv[1]))
{
case 2:
LabelOverlapMeasures<2>(argc, argv);
break;
case 3:
LabelOverlapMeasures<3>(argc, argv);
break;
default:
std::cerr << "Unsupported dimension" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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