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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 "itkZeroCrossingBasedEdgeDetectionImageFilter.h"
#include "itkNullImageToImageFilterDriver.hxx"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkZeroCrossingBasedEdgeDetectionImageFilterTest(int argc, char * argv[])
{
if (argc < 5)
{
std::cerr << "Missing Parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv)
<< " varianceValue maximumErrorValue backgroundValue foregroundValue" << std::endl;
return EXIT_FAILURE;
}
using ImageType = itk::Image<float, 2>;
// Set up filter
using FilterType = itk::ZeroCrossingBasedEdgeDetectionImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ZeroCrossingBasedEdgeDetectionImageFilter, ImageToImageFilter);
itk::SimpleFilterWatcher watcher(filter);
float varianceValue = std::stod(argv[1]);
filter->SetVariance(varianceValue);
for (auto i : filter->GetVariance())
{
if (i != varianceValue)
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in itk::ZeroCrossingBasedEdgeDetectionImageFilter::GetVariance" << std::endl;
std::cerr << "Expected: " << varianceValue << ", but got: " << i << std::endl;
return EXIT_FAILURE;
}
}
FilterType::ArrayType variance;
variance.Fill(varianceValue);
filter->SetVariance(variance);
ITK_TEST_SET_GET_VALUE(variance, filter->GetVariance());
float maximumErrorValue = std::stod(argv[2]);
filter->SetMaximumError(maximumErrorValue);
for (auto i : filter->GetMaximumError())
{
if (i != maximumErrorValue)
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in itk::ZeroCrossingBasedEdgeDetectionImageFilter::GetMaximumError" << std::endl;
std::cerr << "Expected: " << maximumErrorValue << ", but got: " << i << std::endl;
return EXIT_FAILURE;
}
}
FilterType::ArrayType maximumError;
maximumError.Fill(maximumErrorValue);
filter->SetMaximumError(maximumError);
ITK_TEST_SET_GET_VALUE(maximumError, filter->GetMaximumError());
auto backgroundValue = static_cast<typename FilterType::OutputImagePixelType>(std::stod(argv[3]));
filter->SetBackgroundValue(backgroundValue);
ITK_TEST_SET_GET_VALUE(backgroundValue, filter->GetBackgroundValue());
auto foregroundValue = static_cast<typename FilterType::OutputImagePixelType>(std::stod(argv[4]));
filter->SetForegroundValue(foregroundValue);
ITK_TEST_SET_GET_VALUE(foregroundValue, filter->GetForegroundValue());
// Run Test
itk::Size<2> sz;
sz[0] = 100;
sz[1] = 100;
itk::NullImageToImageFilterDriver<ImageType, ImageType> test1;
test1.SetImageSize(sz);
test1.SetFilter(filter);
ITK_TRY_EXPECT_NO_EXCEPTION(test1.Execute());
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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