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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.
*
*=========================================================================*/
/*=========================================================================
*
* Portions of this file are subject to the VTK Toolkit Version 3 copyright.
*
* Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
*
* For complete copyright, license and disclaimer of warranty information
* please refer to the NOTICE file at the top of the ITK source tree.
*
*=========================================================================*/
#include "itkSimpleFilterWatcher.h"
#include "vnl/vnl_sample.h"
#include "makeRandomImageBsplineInterpolator.h"
/** Note: This is the same test used for the itkBSplineDecompositionFilter
* It is duplicated here because it exercises the itkBSplineResampleImageFunctionTest
* and demonstrates its use.
*/
int
itkBSplineResampleImageFunctionTest(int, char *[])
{
constexpr unsigned int ImageDimension = 2;
using PixelType = float;
using ImageType = itk::Image<PixelType, ImageDimension>;
using BSplineInterpolatorFunctionType = itk::BSplineInterpolateImageFunction<ImageType, double, double>;
constexpr unsigned int SplineOrder = 3;
BSplineInterpolatorFunctionType::Pointer interpolator =
makeRandomImageInterpolator<BSplineInterpolatorFunctionType>(SplineOrder);
ImageType::ConstPointer randImage = interpolator->GetInputImage();
using FilterType = itk::BSplineDecompositionImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
itk::SimpleFilterWatcher watcher(filter, "filter");
filter->SetSplineOrder(interpolator->GetSplineOrder());
filter->SetInput(randImage);
filter->Update();
filter->Print(std::cout);
/** Set up a BSplineResampleImageFunction. */
using ResampleFunctionType = itk::BSplineResampleImageFunction<ImageType, double>;
auto resample = ResampleFunctionType::New();
resample->SetSplineOrder(interpolator->GetSplineOrder());
resample->SetInputImage(filter->GetOutput());
/** Compare 10 values at random points. */
ImageType::IndexType Last;
Last.Fill(0);
Last[0] = randImage->GetLargestPossibleRegion().GetSize()[0] - 1;
ImageType::PointType LastPhysicalLocation;
randImage->TransformIndexToPhysicalPoint(Last, LastPhysicalLocation);
const double minValue = randImage->GetOrigin()[0];
const double maxValue = LastPhysicalLocation[0];
for (unsigned int k = 0; k < 10; ++k)
{
ResampleFunctionType::PointType point;
for (unsigned int j = 0; j < ImageDimension; ++j)
{
point[j] = vnl_sample_uniform(minValue, maxValue);
}
const double f = resample->Evaluate(point);
const double g = interpolator->Evaluate(point);
if (itk::Math::abs(f - g) > 1e-5)
{
std::cout << "Resample and Interpolated point are different." << std::endl;
std::cout << " point: " << point << std::endl;
std::cout << " resample: " << resample->Evaluate(point) << std::endl;
std::cout << " interpolator: " << interpolator->Evaluate(point) << std::endl;
std::cout << " Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
return EXIT_SUCCESS;
}
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