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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 "itkImage.h"
#include "itkGaussianInterpolateImageFunction.h"
#include "itkMath.h"
#include "itkTestingMacros.h"
#include "itkIndexRange.h"
int
itkGaussianInterpolateImageFunctionTest(int, char *[])
{
using ImageType = itk::Image<float, 2>;
using InterpolatorType = itk::GaussianInterpolateImageFunction<ImageType, float>;
auto interpolator = InterpolatorType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(interpolator, GaussianInterpolateImageFunction, InterpolateImageFunction);
InterpolatorType::ArrayType sigma;
sigma.Fill(1.0);
interpolator->SetSigma(sigma);
ITK_TEST_SET_GET_VALUE(sigma, interpolator->GetSigma());
InterpolatorType::RealType alpha = 1.0;
interpolator->SetAlpha(alpha);
ITK_TEST_SET_GET_VALUE(alpha, interpolator->GetAlpha());
auto image = ImageType::New();
ImageType::IndexType start;
start.Fill(0);
ImageType::SizeType size;
size.Fill(3);
ImageType::RegionType region{ start, size };
image->SetRegions(region);
image->Allocate();
ImageType::PointType origin;
ImageType::SpacingType spacing;
origin.Fill(0.0);
spacing.Fill(1.0);
image->SetOrigin(origin);
image->SetSpacing(spacing);
for (const auto index : itk::ZeroBasedIndexRange<ImageType::ImageDimension>(size))
{
image->SetPixel(index, index[0] + index[1]);
}
interpolator->SetInputImage(image);
typename ImageType::SizeType radius;
radius.Fill(1);
for (unsigned int d = 0; d < ImageType::ImageDimension; ++d)
{
ITK_TEST_SET_GET_VALUE(radius[d], interpolator->GetRadius()[d]);
}
InterpolatorType::OutputType expectedValues[5][5] = { { 0.773964, 0.886982, 1.38698, 1.88698, 2.0 },
{ 0.886982, 1.0, 1.5, 2.0, 2.11302 },
{ 1.38698, 1.5, 2.0, 2.5, 2.61302 },
{ 1.88698, 2.0, 2.5, 3.0, 3.11302 },
{ 2.0, 2.11302, 2.61302, 3.11302, 3.22604 } };
ImageType::PointType point;
point[0] = 0.0;
for (auto & expectedValue : expectedValues)
{
point[1] = 0.0;
for (unsigned int j = 0; j < 5; ++j)
{
InterpolatorType::OutputType computedValue = interpolator->Evaluate(point);
if (!itk::Math::FloatAlmostEqual(computedValue, expectedValue[j], 7, 5e-6))
{
std::cerr << "Error: computed and expected values are different" << std::endl;
std::cerr << "Point: " << point << std::endl;
std::cerr << "Computed: " << computedValue << std::endl;
std::cerr << "Expected: " << expectedValue[j] << std::endl;
return EXIT_FAILURE;
}
point[1] += 0.5;
}
point[0] += 0.5;
}
return EXIT_SUCCESS;
}
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