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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 "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkThresholdLabelerImageFilter.h"
#include "itkChangeLabelImageFilter.h"
#include "itkProjectionImageFilter.h"
#include "itkTestingMacros.h"
namespace itk
{
namespace ProjectionImageFilterNamespace
{
namespace Function
{
template <typename TInputPixel, typename TOutputPixel>
class BinaryAccumulator
{
public:
BinaryAccumulator(unsigned long)
: m_IsForeground(false)
{}
~BinaryAccumulator() = default;
inline void
Initialize()
{
m_IsForeground = false;
}
inline void
operator()(const TInputPixel & input)
{
if (input == 100)
{
m_IsForeground = true;
}
}
inline TOutputPixel
GetValue()
{
if (m_IsForeground)
{
return 100;
}
else
{
return 0;
}
}
bool m_IsForeground;
};
} // end namespace Function
} // end namespace ProjectionImageFilterNamespace
} // end namespace itk
int
itkProjectionImageFilterTest(int argc, char * argv[])
{
if (argc < 5)
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " InputImage OutputImage Foreground Background" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 3;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
// produce an image with 3 labels: 0 (background), 100 and 200
using LabelerType = itk::ThresholdLabelerImageFilter<ImageType, ImageType>;
auto labeler = LabelerType::New();
labeler->SetInput(reader->GetOutput());
LabelerType::RealThresholdVector thresholds;
thresholds.push_back(100);
thresholds.push_back(200);
labeler->SetRealThresholds(thresholds);
using ChangeType = itk::ChangeLabelImageFilter<ImageType, ImageType>;
auto change = ChangeType::New();
change->SetInput(labeler->GetOutput());
change->SetChange(1, 100);
change->SetChange(2, 200);
using FunctionType = itk::ProjectionImageFilterNamespace::Function::BinaryAccumulator<PixelType, PixelType>;
using FilterType = itk::ProjectionImageFilter<ImageType, ImageType, FunctionType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ProjectionImageFilter, ImageToImageFilter);
filter->SetInput(change->GetOutput());
// Test exceptions
unsigned int projectionDimension = ImageType::ImageDimension;
filter->SetProjectionDimension(projectionDimension);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
projectionDimension = ImageType::ImageDimension - 1;
filter->SetProjectionDimension(projectionDimension);
ITK_TEST_SET_GET_VALUE(projectionDimension, filter->GetProjectionDimension());
itk::SimpleFilterWatcher watcher(filter, "filter");
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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