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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 <iomanip>
#include <string>
#include <sstream>
#include <itkImage.h>
#include <itkLinearInterpolateImageFunction.h>
#include <itkNearestNeighborInterpolateImageFunction.h>
#include <itkLabelImageGaussianInterpolateImageFunction.h>
#include <itkBSplineInterpolateImageFunction.h>
#include <itkResampleImageFilter.h>
#include <itkVersorRigid3DTransform.h>
#include <itkImageFileWriter.h>
#include <itkImageFileReader.h>
#include <itkTestingComparisonImageFilter.h>
#include <itkTimeProbe.h>
#include <itkPNGImageIOFactory.h>
#include "itkLabelImageGenericInterpolateImageFunction.h"
#include "itkLabelSelectionImageAdaptor.h"
#include "itkLabelSelectionPixelAccessor.h"
/* This demo is a torture test for interpolators: it takes an input label map,
* rotates it one full turn in ten steps, and writes the result */
template <class ImageType>
void
RotateNTimes(typename ImageType::Pointer input,
typename itk::InterpolateImageFunction<ImageType, double> * interpolator,
unsigned int number_of_rotations,
std::string filename_prefix,
std::string output_directory)
{
using TransformType = itk::VersorRigid3DTransform<double>;
using ResampleFilterType = itk::ResampleImageFilter<ImageType, ImageType>;
TransformType::AxisType axis;
axis[0] = 0;
axis[1] = 1;
axis[2] = 0;
TransformType::InputPointType center;
center[0] = 144;
center[1] = 86;
center[2] = 101;
TransformType::Pointer rot = TransformType::New();
rot->SetCenter(center);
rot->SetRotation(axis, 2. * itk::Math::pi / number_of_rotations);
typename ResampleFilterType::Pointer rs = ResampleFilterType::New();
rs->SetInput(input);
rs->SetReferenceImage(input);
rs->SetUseReferenceImage(true);
rs->SetTransform(rot);
rs->SetInterpolator(interpolator);
typename ImageType::Pointer out;
itk::TimeProbe timer;
timer.Start();
for (unsigned i = 0; i < number_of_rotations; ++i)
{
rs->SetReferenceImage(input);
rs->SetUseReferenceImage(true);
rs->Update();
out = rs->GetOutput();
out->DisconnectPipeline();
rs->SetInput(out);
rs->SetTransform(rot);
}
timer.Stop();
using ComparisonFilterType = itk::Testing::ComparisonImageFilter<ImageType, ImageType>;
typename ComparisonFilterType::Pointer compare = ComparisonFilterType::New();
compare->SetValidInput(input);
compare->SetTestInput(out);
compare->Update();
std::cout << "Pixels with differences: " << std::setw(8) << compare->GetNumberOfPixelsWithDifferences() << " ( "
<< std::fixed << std::setprecision(2)
<< static_cast<double>(compare->GetNumberOfPixelsWithDifferences()) /
input->GetLargestPossibleRegion().GetNumberOfPixels() * 100.
<< "% ) in " << timer.GetTotal() << "s" << std::endl;
using WriterType = itk::ImageFileWriter<ImageType>;
typename WriterType::Pointer writer = WriterType::New();
writer->SetUseCompression(true);
writer->SetInput(out);
std::ostringstream fname_stream;
fname_stream << output_directory << "/" << filename_prefix << "_" << number_of_rotations << ".png";
writer->SetFileName(fname_stream.str());
writer->Write();
}
// The BSpline interpolator has more arguments than other interpolators, so we set the additional parameter to the
// default value
template <class TImage, typename TCoordRep>
class BSplineInterpolator : public itk::BSplineInterpolateImageFunction<TImage, TCoordRep>
{};
template <class TImage, typename TCoordRep>
class FixedGaussianInterpolator : public itk::GaussianInterpolateImageFunction<TImage, TCoordRep>
{
public:
using Self = FixedGaussianInterpolator;
using Superclass = itk::GaussianInterpolateImageFunction<TImage, TCoordRep>;
using Pointer = itk::SmartPointer<Self>;
using ConstPointer = itk::SmartPointer<const Self>;
/** Run-time type information (and related methods). */
itkTypeMacro(FixedGaussianInterpolator, GaussianInterpolateImageFunction);
/** Method for creation through the object factory. */
itkNewMacro(Self);
FixedGaussianInterpolator()
{
this->SetAlpha(1.0);
this->SetSigma(0.3);
}
};
int
main(int argc, char * argv[])
{
if (argc != 4)
{
std::cout << "Usage: " << argv[0] << " inputImage outputDirectory numberOfRotation" << std::endl;
return EXIT_FAILURE;
}
std::string inputFileName = argv[1];
std::string outputDirectory = argv[2];
std::istringstream stream(argv[3]);
unsigned int numberOfRotations = 0;
stream >> numberOfRotations;
if (numberOfRotations < 1)
{
std::cout << "numberOfRotation must be strictly positive. Given value: " << numberOfRotations << std::endl;
return EXIT_FAILURE;
}
itk::PNGImageIOFactory::RegisterOneFactory();
using PixelType = unsigned char;
constexpr unsigned int Dimension = 3;
using ImageType = itk::Image<PixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
ReaderType::Pointer r = ReaderType::New();
r->SetFileName(inputFileName);
r->Update();
std::cout << "Testing with " << numberOfRotations << " rotations..." << std::endl << std::endl;
std::cout << "Nearest neighbor interpolator... " << std::flush;
using NNInterpolatorType = itk::NearestNeighborInterpolateImageFunction<ImageType, double>;
NNInterpolatorType::Pointer nn_interp = NNInterpolatorType::New();
RotateNTimes<ImageType>(r->GetOutput(), nn_interp, numberOfRotations, "nearest", outputDirectory);
std::cout << "Linear interpolator... " << std::flush;
using LInterpolatorType = itk::LinearInterpolateImageFunction<ImageType, double>;
LInterpolatorType::Pointer l_interp = LInterpolatorType::New();
RotateNTimes<ImageType>(r->GetOutput(), l_interp, numberOfRotations, "linear", outputDirectory);
std::cout << "Label Gaussian interpolator type... " << std::flush;
using LGInterpolatorType = itk::LabelImageGaussianInterpolateImageFunction<ImageType, double>;
LGInterpolatorType::Pointer lg_interp = LGInterpolatorType::New();
lg_interp->SetSigma(0.3);
RotateNTimes<ImageType>(r->GetOutput(), lg_interp, numberOfRotations, "label_gaussian", outputDirectory);
std::cout << "Generic label interpolator with nearest neighbor... " << std::flush;
using GNNInterpolatorType =
itk::LabelImageGenericInterpolateImageFunction<ImageType, itk::NearestNeighborInterpolateImageFunction>;
GNNInterpolatorType::Pointer gnn_interp = GNNInterpolatorType::New();
RotateNTimes<ImageType>(r->GetOutput(), gnn_interp, numberOfRotations, "gl_nearest", outputDirectory);
std::cout << "Generic label interpolator with linear interpolation... " << std::flush;
using GLInterpolatorType =
itk::LabelImageGenericInterpolateImageFunction<ImageType, itk::LinearInterpolateImageFunction>;
GLInterpolatorType::Pointer gl_interp = GLInterpolatorType::New();
RotateNTimes<ImageType>(r->GetOutput(), gl_interp, numberOfRotations, "gl_linear", outputDirectory);
std::cout << "Generic label interpolator with B-Spline interpolation... " << std::flush;
using GBSInterpolatorType = itk::LabelImageGenericInterpolateImageFunction<ImageType, BSplineInterpolator>;
GBSInterpolatorType::Pointer gbs_interp = GBSInterpolatorType::New();
RotateNTimes<ImageType>(r->GetOutput(), gbs_interp, numberOfRotations, "gl_bspline", outputDirectory);
std::cout << "Generic label interpolator with Gaussian interpolation... " << std::flush;
using GGInterpolatorType = itk::LabelImageGenericInterpolateImageFunction<ImageType, FixedGaussianInterpolator>;
GGInterpolatorType::Pointer gg_interp = GGInterpolatorType::New();
RotateNTimes<ImageType>(r->GetOutput(), gg_interp, numberOfRotations, "gl_gaussian", outputDirectory);
std::cout << std::endl;
return EXIT_SUCCESS;
}
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