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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 "itkCastImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkPointSet.h"
#include "itkBSplineScatteredDataPointSetToImageFilter.h"
#include "itkTestingMacros.h"
/**
* In this test, we approximate a sequence of 3D points with a
* parametric curve described by B-Splines
*/
int
itkBSplineScatteredDataPointSetToImageFilterTest2(int argc, char * argv[])
{
if (argc < 2)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << "outputImage" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int ParametricDimension = 1;
constexpr unsigned int DataDimension = 3;
using RealType = double;
using OutputPixelType = unsigned char;
using VectorType = itk::Vector<RealType, DataDimension>;
using OutputVectorType = itk::Vector<OutputPixelType, DataDimension>;
using ImageType = itk::Image<VectorType, ParametricDimension>;
using OutputImageType = itk::Image<OutputVectorType, ParametricDimension>;
using PointSetType = itk::PointSet<VectorType, ParametricDimension>;
auto pointSet = PointSetType::New();
// Sample the helix
for (RealType t = 0.0; t <= 1.0 + 1e-10; t += 0.05)
{
unsigned long i = pointSet->GetNumberOfPoints();
PointSetType::PointType point;
point[0] = t;
pointSet->SetPoint(i, point);
VectorType V;
V[0] = 0.25 * std::cos(t * 6.0 * 3.141);
V[1] = 0.25 * std::sin(t * 6.0 * 3.141);
V[2] = 4.00 * t;
pointSet->SetPointData(i, V);
}
// Instantiate the filter and set the parameters
using FilterType = itk::BSplineScatteredDataPointSetToImageFilter<PointSetType, ImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, BSplineScatteredDataPointSetToImageFilter, PointSetToImageFilter);
// Define the parametric domain
ImageType::SpacingType spacing;
spacing.Fill(0.01);
ImageType::SizeType size;
size.Fill(101);
ImageType::PointType origin;
origin.Fill(0.0);
filter->SetSize(size);
filter->SetOrigin(origin);
filter->SetSpacing(spacing);
filter->SetInput(pointSet);
FilterType::RealType bSplineEpsilon = 1e-4;
filter->SetBSplineEpsilon(bSplineEpsilon);
ITK_TEST_SET_GET_VALUE(bSplineEpsilon, filter->GetBSplineEpsilon());
filter->SetSplineOrder(3);
FilterType::ArrayType ncps;
ncps.Fill(4);
filter->SetNumberOfControlPoints(ncps);
filter->SetNumberOfLevels(5);
filter->SetGenerateOutputImage(false);
FilterType::WeightsContainerType::Pointer pointWeights = FilterType::WeightsContainerType::New();
pointWeights->Initialize();
unsigned int abritrarySize = filter->GetInput()->GetNumberOfPoints() - 1;
pointWeights->resize(abritrarySize);
for (unsigned int i = 0; i < pointWeights->Size(); ++i)
{
pointWeights->SetElement(i, 2);
}
filter->SetPointWeights(pointWeights);
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
pointWeights->resize(filter->GetInput()->GetNumberOfPoints());
for (unsigned int i = 0; i < pointWeights->Size(); ++i)
{
pointWeights->SetElement(i, 2);
}
filter->SetPointWeights(pointWeights);
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Cast the PhiLattice
using CastImageFilterType = itk::CastImageFilter<FilterType::PointDataImageType, OutputImageType>;
auto caster = CastImageFilterType::New();
caster->SetInput(filter->GetPhiLattice());
// Write the PhiLattice
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[1]);
writer->SetInput(caster->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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