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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 "itkBinShrinkImageFilter.h"
#include "itkPhysicalPointImageSource.h"
#include "itkVectorImage.h"
#include "itkImageRegionConstIterator.h"
namespace
{
// This function checks that all values in an image are equivalent to
// the physical point of the image.
template <typename TImageType>
bool
CheckValueIsPhysicalPoint(const TImageType * img)
{
using IteratorType = itk::ImageRegionConstIterator<TImageType>;
IteratorType it(img, img->GetBufferedRegion());
bool match = true;
typename TImageType::PointType pt;
img->TransformIndexToPhysicalPoint(it.GetIndex(), pt);
while (!it.IsAtEnd())
{
for (unsigned int i = 0; i < TImageType::ImageDimension; ++i)
{
img->TransformIndexToPhysicalPoint(it.GetIndex(), pt);
if (!itk::Math::FloatAlmostEqual<itk::SpacePrecisionType>(pt[i], it.Get()[i]))
{
typename TImageType::PointType::VectorType diff;
for (unsigned int j = 0; j < TImageType::ImageDimension; ++j)
{
diff[j] = pt[j] - it.Get()[j];
}
std::cout << "Index: " << it.GetIndex() << " Point: " << pt << " Value: " << it.Get() << " Difference:" << diff
<< std::endl;
match = false;
}
}
++it;
}
return match;
}
} // namespace
int
itkBinShrinkImageFilterTest2(int, char *[])
{
constexpr unsigned int ImageDimension = 2;
using PixelType = itk::Vector<double, ImageDimension>;
using ImageType = itk::Image<PixelType, ImageDimension>;
using SourceType = itk::PhysicalPointImageSource<ImageType>;
auto source = SourceType::New();
SourceType::SizeValueType size[] = { 512, 509 };
source->SetSize(size);
float origin[] = { 1.1f, 2.22f };
source->SetOrigin(origin);
unsigned int factors[] = { 1, 1 };
bool pass = true;
for (unsigned int xf = 1; xf < 5; ++xf)
{
factors[0] = xf;
for (unsigned int yf = 1; yf < 5; ++yf)
{
factors[1] = yf;
std::cout << "Testing with shrink factors:" << xf << ' ' << yf << std::endl;
using FilterType = itk::BinShrinkImageFilter<ImageType, ImageType>;
auto shrink = FilterType::New();
shrink->SetInput(source->GetOutput());
std::cout << "Testing with shrink factors:" << xf << ' ' << yf << std::endl;
shrink->SetShrinkFactors(factors);
shrink->UpdateLargestPossibleRegion();
if (!CheckValueIsPhysicalPoint(shrink->GetOutput()))
{
pass = false;
std::cout << "== Failed with shrink factors " << factors[0] << ' ' << factors[1] << " == " << std::endl;
}
}
}
if (pass)
{
return EXIT_SUCCESS;
}
else
{
return EXIT_FAILURE;
}
}
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