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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 "itkConvolutionImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkPipelineMonitorImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkStreamingImageFilter.h"
#include "itkTestingMacros.h"
int
itkConvolutionImageFilterTestInt(int argc, char * argv[])
{
if (argc < 4)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputImage kernelImage outputImage [normalizeImage] [outputRegionMode]" << std::endl;
return EXIT_FAILURE;
}
constexpr int ImageDimension = 2;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, ImageDimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader1 = ReaderType::New();
reader1->SetFileName(argv[1]);
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[2]);
using ConvolutionFilterType = itk::ConvolutionImageFilter<ImageType>;
auto convolver = ConvolutionFilterType::New();
convolver->SetInput(reader1->GetOutput());
convolver->SetKernelImage(reader2->GetOutput());
itk::SimpleFilterWatcher watcher(convolver, "filter");
if (argc >= 5)
{
convolver->SetNormalize(static_cast<bool>(std::stoi(argv[4])));
}
if (argc >= 6)
{
std::string outputRegionMode(argv[5]);
if (outputRegionMode == "SAME")
{
convolver->SetOutputRegionModeToSame();
std::cout << "OutputRegionMode set to SAME." << std::endl;
}
else if (outputRegionMode == "VALID")
{
convolver->SetOutputRegionModeToValid();
std::cout << "OutputRegionMode set to VALID." << std::endl;
}
else
{
std::cerr << "Invalid OutputRegionMode '" << outputRegionMode << "'." << std::endl;
std::cerr << "Valid values are SAME or VALID." << std::endl;
return EXIT_FAILURE;
}
}
using MonitorFilter = itk::PipelineMonitorImageFilter<ImageType>;
auto monitor = MonitorFilter::New();
monitor->SetInput(convolver->GetOutput());
constexpr unsigned int numberOfStreamDivisions = 4;
itk::StreamingImageFilter<ImageType, ImageType>::Pointer streamingFilter =
itk::StreamingImageFilter<ImageType, ImageType>::New();
streamingFilter->SetNumberOfStreamDivisions(numberOfStreamDivisions);
streamingFilter->SetInput(monitor->GetOutput());
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[3]);
writer->SetInput(streamingFilter->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
if (!monitor->VerifyAllInputCanStream(numberOfStreamDivisions))
{
std::cerr << "ConvolutionImageFilter failed to stream as expected!" << std::endl;
std::cerr << monitor;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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