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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 "itkImageFileWriter.h"
#include "itkNarrowBandImageFilterBase.h"
#include "itkCurvatureFlowFunction.h"
#include "itkRandomImageSource.h"
#include "itkAddImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkTestingMacros.h"
namespace itk
{
template <typename TInputImageType, typename TOutputImageType>
class NbTestClass : public NarrowBandImageFilterBase<TInputImageType, TOutputImageType>
{
public:
using Self = NbTestClass;
using Superclass = NarrowBandImageFilterBase<TInputImageType, TOutputImageType>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
using ImageType = TOutputImageType;
/** Standard method for creation through object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(NbTestClass);
using FiniteFunctionType = CurvatureFlowFunction<TOutputImageType>;
protected:
typename FiniteFunctionType::Pointer m_Function;
NbTestClass()
{
m_Function = FiniteFunctionType::New();
this->SetDifferenceFunction(m_Function);
}
bool
Halt() override
{
if (this->GetElapsedIterations() == 20)
{
return true;
}
else
{
return false;
}
}
void
CreateNarrowBand() override
{
// Create a band
typename ImageType::SizeType sz = this->GetInput()->GetRequestedRegion().GetSize();
typename ImageType::IndexType tl = this->GetInput()->GetRequestedRegion().GetIndex();
typename Superclass::IndexType in;
for (in [0] = 32 + tl[0]; in[0] < tl[0] + static_cast<long>(sz[0]); in[0]++)
{
for (in [1] = tl[1] + 32; in[1] < tl[1] + static_cast<long>(sz[1]); in[1]++)
{
this->InsertNarrowBandNode(in);
}
}
}
};
} // namespace itk
namespace
{
// simple signed distance function
template <typename TPoint>
double
SimpleSignedDistance(const TPoint & p)
{
TPoint center;
center.Fill(32);
double radius = 19.5;
double accum = 0.0;
for (unsigned int j = 0; j < TPoint::PointDimension; ++j)
{
accum += itk::Math::sqr(p[j] - center[j]);
}
accum = std::sqrt(accum);
return (accum - radius);
}
} // namespace
int
itkNarrowBandImageFilterBaseTest(int argc, char * argv[])
{
if (argc < 2)
{
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " OutputImage\n";
return EXIT_FAILURE;
}
using PixelType = float;
using WriterPixelType = unsigned char;
constexpr unsigned int ImageDimension = 2;
using ImageType = itk::Image<PixelType, ImageDimension>;
using WriterImageType = itk::Image<WriterPixelType, ImageDimension>;
using PointType = itk::Point<double, ImageDimension>;
ImageType::SizeType size = { { 64, 64 } };
ImageType::IndexType index = { { 0, 0 } };
ImageType::RegionType region{ index, size };
auto inputImage = ImageType::New();
inputImage->SetRegions(region);
inputImage->Allocate();
using Iterator = itk::ImageRegionIteratorWithIndex<ImageType>;
Iterator iter(inputImage, region);
iter.GoToBegin();
while (!iter.IsAtEnd())
{
PointType point;
inputImage->TransformIndexToPhysicalPoint(iter.GetIndex(), point);
iter.Set(SimpleSignedDistance(point));
++iter;
}
using RandomSourceType = itk::RandomImageSource<ImageType>;
auto randomSource = RandomSourceType::New();
ImageType::SizeValueType tam[2];
tam[0] = 64;
tam[1] = 64;
randomSource->SetSize(tam);
randomSource->SetMin(-2);
randomSource->SetMax(2);
// For testing purposes we want random source to produce
// deterministic values. This is accompished by restricting the
// number of threads to 1.
randomSource->SetNumberOfWorkUnits(1);
using AddFilterType = itk::AddImageFilter<ImageType, ImageType, ImageType>;
auto addFilter = AddFilterType::New();
addFilter->SetInput1(inputImage);
addFilter->SetInput2(randomSource->GetOutput());
using FilterType = itk::NbTestClass<ImageType, ImageType>;
auto filter = FilterType::New();
filter->SetInput(addFilter->GetOutput());
filter->Print(std::cout);
try
{
using RescaleType = itk::RescaleIntensityImageFilter<ImageType, WriterImageType>;
auto rescale = RescaleType::New();
rescale->SetInput(filter->GetOutput());
rescale->SetOutputMinimum(0);
rescale->SetOutputMaximum(255);
using WriterType = itk::ImageFileWriter<WriterImageType>;
auto writer = WriterType::New();
writer->SetInput(rescale->GetOutput());
writer->SetFileName(argv[1]);
writer->Write();
}
catch (const itk::ExceptionObject & err)
{
err.Print(std::cerr);
std::cout << "Test failed." << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test Passed. " << std::endl;
return EXIT_SUCCESS;
}
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