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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 <iostream>
#include "itkTestingComparisonImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
#include <cstdlib>
int
itkTestingComparisonImageFilterTest(int argc, char * argv[])
{
if (argc < 12)
{
std::cerr << "Usage: " << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputImageFile1 inputImageFile2 outputImage ignoreBoundaryPixels threshold radius "
"numberOfPixelsWithDifferences minimumDifference maximumDifference meanDifference totalDifference"
<< std::endl;
return EXIT_FAILURE;
}
// Test using an unsigned integral pixel type and generate a signed
// integral pixel type
using InputPixelType = short;
using OutputPixelType = unsigned short;
constexpr unsigned int Dimension = 2;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
auto reader1 = ReaderType::New();
auto reader2 = ReaderType::New();
reader1->SetFileName(argv[1]);
reader2->SetFileName(argv[2]);
// Define the filter
using FilterType = itk::Testing::ComparisonImageFilter<InputImageType, OutputImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ComparisonImageFilter, ImageToImageFilter);
// setup the filter
auto ignoreBoundaryPixels = static_cast<bool>(std::stoi(argv[4]));
ITK_TEST_SET_GET_BOOLEAN(filter, IgnoreBoundaryPixels, ignoreBoundaryPixels);
auto differenceThreshold = static_cast<typename FilterType::OutputPixelType>(std::stoi(argv[5]));
filter->SetDifferenceThreshold(differenceThreshold);
ITK_TEST_SET_GET_VALUE(differenceThreshold, filter->GetDifferenceThreshold());
int toleranceRadius = std::stoi(argv[6]);
filter->SetToleranceRadius(toleranceRadius);
ITK_TEST_SET_GET_VALUE(toleranceRadius, filter->GetToleranceRadius());
itk::SimpleFilterWatcher watcher(filter, "Difference");
// wire the pipeline
filter->SetValidInput(reader1->GetOutput());
filter->SetTestInput(reader2->GetOutput());
// Write the output
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(argv[3]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
unsigned long numberOfPixelsWithDifferences = filter->GetNumberOfPixelsWithDifferences();
char * end;
ITK_TEST_EXPECT_EQUAL(numberOfPixelsWithDifferences, std::strtoul(argv[7], &end, 10));
auto minimumDifference = static_cast<typename FilterType::OutputPixelType>(std::stod(argv[8]));
ITK_TEST_EXPECT_EQUAL(minimumDifference, filter->GetMinimumDifference());
auto maximumDifference = static_cast<typename FilterType::OutputPixelType>(std::stod(argv[9]));
ITK_TEST_EXPECT_EQUAL(maximumDifference, filter->GetMaximumDifference());
auto meanDifference = static_cast<typename FilterType::RealType>(std::stod(argv[10]));
const double epsilon = 1e-4;
std::cout.precision(static_cast<int>(itk::Math::abs(std::log10(epsilon))));
if (!itk::Math::FloatAlmostEqual(meanDifference, filter->GetMeanDifference(), 10, epsilon))
{
std::cerr.precision(static_cast<int>(itk::Math::abs(std::log10(epsilon))));
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in GetMeanDifference" << std::endl;
std::cerr << "Expected value " << meanDifference << std::endl;
std::cerr << " differs from " << filter->GetMeanDifference();
std::cerr << " by more than " << epsilon << std::endl;
return EXIT_FAILURE;
}
auto totalDifference = static_cast<typename FilterType::AccumulateType>(std::stod(argv[11]));
ITK_TEST_EXPECT_EQUAL(totalDifference, filter->GetTotalDifference());
// Change test input spacing to test that comparison filter fails if spacings are different
InputImageType::SpacingType spacing;
spacing[0] = 5;
spacing[1] = 1;
// Expect failure
reader2->GetOutput()->SetSpacing(spacing);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
// Expect success
auto coordinateTolerance = static_cast<double>(spacing[0]);
filter->SetCoordinateTolerance(coordinateTolerance);
ITK_TEST_SET_GET_VALUE(coordinateTolerance, filter->GetCoordinateTolerance());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Reset
filter->SetCoordinateTolerance(1.0e-6);
reader2->GetOutput()->SetSpacing(reader1->GetOutput()->GetSpacing());
// Change test input origin to test that comparison filter fails if origins are different
InputImageType::PointType origin;
origin[0] = 5;
origin[1] = 1;
// Expect failure
reader2->GetOutput()->SetOrigin(origin);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
filter->SetCoordinateTolerance(10);
// Expect success
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Reset
filter->SetCoordinateTolerance(1.0e-6);
reader2->GetOutput()->SetOrigin(reader1->GetOutput()->GetOrigin());
// Change test input direction to test that comparison filter fails if directions are different
InputImageType::DirectionType direction;
direction[0][0] = 2;
direction[0][1] = 0;
direction[1][0] = 0;
direction[1][1] = 1;
// Expect failure
reader2->GetOutput()->SetDirection(direction);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
// Expect success
filter->SetDirectionTolerance(2);
ITK_TEST_SET_GET_VALUE(2, filter->GetDirectionTolerance());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Reset
filter->SetDirectionTolerance(1.0e-6);
// Test disabling VerifyInputInformation()
filter->SetVerifyInputInformation(false);
ITK_TEST_SET_GET_VALUE(false, filter->GetVerifyInputInformation());
filter->VerifyInputInformationOn();
ITK_TEST_SET_GET_VALUE(true, filter->GetVerifyInputInformation());
filter->VerifyInputInformationOff();
ITK_TEST_SET_GET_VALUE(false, filter->GetVerifyInputInformation());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
return EXIT_SUCCESS;
}
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