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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 "itkBSplineControlPointImageFunction.h"
#include "itkTestingMacros.h"
int
itkBSplineControlPointImageFunctionTest(int, char *[])
{
// We construct a B-spline parametric curve equal to f(u) = 0.5 * u^2 - 0.5 * u
// + 1/6. This is done using a cubic order spline with controls points
// (1, 0, 0, 1)
constexpr unsigned int ParametricDimension = 1;
constexpr unsigned int DataDimension = 1;
using RealType = float;
using VectorType = itk::Vector<RealType, DataDimension>;
using VectorImageType = itk::Image<VectorType, ParametricDimension>;
auto phiLattice = VectorImageType::New();
VectorImageType::SizeType size;
VectorImageType::SpacingType spacing;
VectorImageType::PointType origin;
size.Fill(4);
spacing.Fill(1.0);
origin.Fill(0.0);
phiLattice->SetOrigin(origin);
phiLattice->SetSpacing(spacing);
phiLattice->SetRegions(size);
phiLattice->Allocate();
phiLattice->FillBuffer(VectorType{});
// To create the specified function, the first and last control points have
// a value of 1.0;
VectorImageType::IndexType index;
VectorImageType::PixelType value;
index.Fill(0);
value.Fill(1.0);
phiLattice->SetPixel(index, value);
index.Fill(3);
value.Fill(1.0);
phiLattice->SetPixel(index, value);
using BSplinerType = itk::BSplineControlPointImageFunction<VectorImageType>;
auto bspliner = BSplinerType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(bspliner, BSplineControlPointImageFunction, ImageFunction);
// Define the parametric domain [0, 1).
origin.Fill(0);
spacing.Fill(0.01);
size.Fill(101);
bspliner->SetOrigin(origin);
ITK_TEST_SET_GET_VALUE(origin, bspliner->GetOrigin());
bspliner->SetSpacing(spacing);
ITK_TEST_SET_GET_VALUE(spacing, bspliner->GetSpacing());
bspliner->SetSize(size);
ITK_TEST_SET_GET_VALUE(size, bspliner->GetSize());
unsigned int bSplineOrderValue = 3;
bspliner->SetSplineOrder(bSplineOrderValue);
for (auto i : bspliner->GetSplineOrder())
{
if (i != bSplineOrderValue)
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in itk::BSplineControlPointImageFunction::GetSplineOrder" << std::endl;
std::cerr << "Expected: " << bSplineOrderValue << ", but got: " << i << std::endl;
return EXIT_FAILURE;
}
}
BSplinerType::ArrayType bSplineOrder;
bSplineOrder.Fill(bSplineOrderValue);
bspliner->SetSplineOrder(bSplineOrder);
ITK_TEST_SET_GET_VALUE(bSplineOrder, bspliner->GetSplineOrder());
BSplinerType::ArrayType::ValueType closeDimensionValue = 0;
BSplinerType::ArrayType closeDimension;
closeDimension.Fill(closeDimensionValue);
bspliner->SetCloseDimension(closeDimension);
ITK_TEST_SET_GET_VALUE(closeDimension, bspliner->GetCloseDimension());
BSplinerType::RealType bSplineEpsilon = 1e-3;
bspliner->SetBSplineEpsilon(bSplineEpsilon);
ITK_TEST_SET_GET_VALUE(bSplineEpsilon, bspliner->GetBSplineEpsilon());
bspliner->SetInputImage(phiLattice);
BSplinerType::PointType point;
BSplinerType::GradientType gradient;
BSplinerType::GradientType hessianComponent;
BSplinerType::OutputType data;
// f(0) = 1/6;
// f'(u) = u - 0.5 so f'(0) should be -0.5.
// f"(u) = 1
try
{
point[0] = 0.0;
data = bspliner->EvaluateAtParametricPoint(point);
if (itk::Math::abs(data[0] - 0.166666666667) > 1e-5)
{
std::cerr << "Evaluate1: data is further away from the expected value." << std::endl;
return EXIT_FAILURE;
}
gradient = bspliner->EvaluateGradientAtParametricPoint(point);
if (itk::Math::abs(gradient(0, 0) + 0.5) > 1e-5)
{
std::cerr << "Evaluate1: gradient is further away from the expected value." << std::endl;
return EXIT_FAILURE;
}
hessianComponent = bspliner->EvaluateHessianAtParametricPoint(point, 0);
if (itk::Math::abs(hessianComponent(0, 0) - 1.0) > 1e-5)
{
std::cerr << "Evaluate1: hessian is further away from the expected value." << std::endl;
return EXIT_FAILURE;
}
}
catch (...)
{
std::cerr << "Error in evaluate functions" << std::endl;
return EXIT_FAILURE;
}
// f(0.351) = 0.05276717;
// f'(0.351) = -0.149
try
{
point[0] = 0.351;
data = bspliner->EvaluateAtParametricPoint(point);
if (itk::Math::abs(data[0] - 0.05276717) > 1e-5)
{
std::cerr << "Evaluate2: data is further away from the expected value." << std::endl;
return EXIT_FAILURE;
}
gradient = bspliner->EvaluateGradientAtParametricPoint(point);
if (itk::Math::abs(gradient(0, 0) + 0.149) > 1e-5)
{
std::cerr << "Evaluate2: gradient is further away from the expected value." << std::endl;
return EXIT_FAILURE;
}
hessianComponent = bspliner->EvaluateHessianAtParametricPoint(point, 0);
if (itk::Math::abs(hessianComponent(0, 0) - 1.0) > 1e-5)
{
std::cerr << "Evaluate2: hessian is further away from the expected value." << std::endl;
return EXIT_FAILURE;
}
}
catch (...)
{
std::cerr << "Error in evaluate functions" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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