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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 "itkBinaryProjectionImageFilter.h"
#include "itkTestingMacros.h"
int
itkBinaryProjectionImageFilterTest(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 int dim = 3;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, dim>;
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 FilterType = itk::BinaryProjectionImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
filter->SetInput(change->GetOutput());
// Exercise Set/Get methods for Foreground Value
filter->SetForegroundValue(255);
if (filter->GetForegroundValue() != 255)
{
std::cerr << "Set/Get Foreground value problem: " << filter->GetForegroundValue() << std::endl;
return EXIT_FAILURE;
}
filter->SetForegroundValue(std::stoi(argv[3]));
// Exercise Set/Get methods for Background Value
filter->SetBackgroundValue(0);
if (filter->GetBackgroundValue() != 0)
{
std::cerr << "Set/Get Background value problem" << std::endl;
return EXIT_FAILURE;
}
filter->SetBackgroundValue(std::stoi(argv[4]));
itk::SimpleFilterWatcher watcher(filter, "filter");
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(argv[2]);
try
{
writer->Update();
}
catch (const itk::ExceptionObject & excp)
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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