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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 "itkApproximateSignedDistanceMapImageFilter.h"
#include "itkShiftScaleImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkNumericTraits.h"
#include "itkTestingMacros.h"
// Anonymous namespace
namespace
{
// Simple signed distance function
template <typename TPoint>
double
SimpleSignedDistance(const TPoint & p)
{
TPoint center;
center.Fill(32);
double radius = 16;
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
itkApproximateSignedDistanceMapImageFilterTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters" << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " insideValue outputImage" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int ImageDimension = 2;
using InputPixelType = unsigned int;
using OutputPixelType = float;
using WriterPixelType = short;
using PointPixelType = double;
using InputImageType = itk::Image<InputPixelType, ImageDimension>;
using OutputImageType = itk::Image<OutputPixelType, ImageDimension>;
using WriterImageType = itk::Image<WriterPixelType, ImageDimension>;
using PointType = itk::Point<PointPixelType, ImageDimension>;
// Make a binary input image based on the signed distance function
// using the inside and outside values
const InputPixelType insideValue = std::stoi(argv[1]);
constexpr InputPixelType outsideValue = 0;
auto image = InputImageType::New();
InputImageType::SizeType size;
size.Fill(64);
InputImageType::RegionType region(size);
image->SetRegions(region);
image->Allocate();
using InputIteratorType = itk::ImageRegionIteratorWithIndex<InputImageType>;
InputIteratorType iter(image, region);
iter.GoToBegin();
while (!iter.IsAtEnd())
{
PointType point;
image->TransformIndexToPhysicalPoint(iter.GetIndex(), point);
iter.Set(SimpleSignedDistance(point) > 0 ? outsideValue : insideValue);
++iter;
}
// Set up the filter
using DistanceMapFilterType = itk::ApproximateSignedDistanceMapImageFilter<InputImageType, OutputImageType>;
auto signedDistanceMapFilter = DistanceMapFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(
signedDistanceMapFilter, ApproximateSignedDistanceMapImageFilter, ImageToImageFilter);
signedDistanceMapFilter->SetInput(image);
signedDistanceMapFilter->SetInsideValue(insideValue);
ITK_TEST_SET_GET_VALUE(insideValue, signedDistanceMapFilter->GetInsideValue());
signedDistanceMapFilter->SetOutsideValue(outsideValue);
ITK_TEST_SET_GET_VALUE(outsideValue, signedDistanceMapFilter->GetOutsideValue());
ITK_TRY_EXPECT_NO_EXCEPTION(signedDistanceMapFilter->Update());
// Write the output image
using RescaleFilterType = itk::ShiftScaleImageFilter<OutputImageType, WriterImageType>;
auto rescaler = RescaleFilterType::New();
rescaler->SetInput(signedDistanceMapFilter->GetOutput());
rescaler->SetScale(1000);
ITK_TRY_EXPECT_NO_EXCEPTION(rescaler->Update());
if (rescaler->GetUnderflowCount() + rescaler->GetOverflowCount() > 0)
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Under-/overflow when scaling distances before writing distance map to disc: " << std::endl
<< "Underflow: " << rescaler->GetUnderflowCount() << std::endl
<< "Overflow: " << rescaler->GetOverflowCount() << std::endl;
return EXIT_FAILURE;
}
using WriterType = itk::ImageFileWriter<WriterImageType>;
auto writer = WriterType::New();
writer->SetInput(rescaler->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
OutputPixelType maxDistance = 0;
using OutputIteratorType = itk::ImageRegionConstIteratorWithIndex<OutputImageType>;
OutputIteratorType oIt(signedDistanceMapFilter->GetOutput(),
signedDistanceMapFilter->GetOutput()->GetLargestPossibleRegion());
oIt.GoToBegin();
while (!oIt.IsAtEnd())
{
PointType point;
image->TransformIndexToPhysicalPoint(oIt.GetIndex(), point);
OutputPixelType distance = itk::Math::abs(oIt.Get() - SimpleSignedDistance(point));
if (distance > maxDistance)
{
maxDistance = distance;
}
++oIt;
}
// Regression test
OutputPixelType maxAllowedDistance = 2;
if (maxDistance > maxAllowedDistance)
{
std::cout << "Test failed!" << std::endl;
std::cout << "The output image had pixels too far away from the correct distance." << std::endl;
std::cout << "The maximum error was: " << static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(maxDistance)
<< std::endl;
std::cout << "The maximum allowed error is: "
<< static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(maxAllowedDistance) << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed" << std::endl;
return EXIT_SUCCESS;
}
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