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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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
*
* http://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.
*
*=========================================================================*/
#ifndef itkRecursiveBSplineInterpolationWeightFunction_hxx
#define itkRecursiveBSplineInterpolationWeightFunction_hxx
#include "itkRecursiveBSplineInterpolationWeightFunction.h"
#include "itkImage.h"
#include "itkMatrix.h"
#include "itkMath.h"
#include "itkImageRegionConstIteratorWithIndex.h"
namespace itk
{
/**
* ********************* Evaluate ****************************
*/
template <typename TCoordRep, unsigned int VSpaceDimension, unsigned int VSplineOrder>
auto
RecursiveBSplineInterpolationWeightFunction<TCoordRep, VSpaceDimension, VSplineOrder>::Evaluate(
const ContinuousIndexType & index) const -> WeightsType
{
IndexType startIndex;
return this->Evaluate(index, startIndex);
} // end Evaluate()
/**
* ********************* Evaluate ****************************
*/
template <typename TCoordRep, unsigned int VSpaceDimension, unsigned int VSplineOrder>
auto
RecursiveBSplineInterpolationWeightFunction<TCoordRep, VSpaceDimension, VSplineOrder>::Evaluate(
const ContinuousIndexType & cindex,
IndexType & startIndex) const -> WeightsType
{
WeightsType weights;
typename WeightsType::ValueType * weightsPtr = &weights[0];
for (unsigned int i = 0; i < SpaceDimension; ++i)
{
startIndex[i] = Math::Floor<IndexValueType>(cindex[i] + 0.5 - SplineOrder / 2.0);
double x = cindex[i] - static_cast<double>(startIndex[i]);
KernelType::FastEvaluate(x, weightsPtr);
weightsPtr += SplineOrder + 1;
}
return weights;
} // end Evaluate()
template <typename TCoordRep, unsigned int VSpaceDimension, unsigned int VSplineOrder>
void
RecursiveBSplineInterpolationWeightFunction<TCoordRep, VSpaceDimension, VSplineOrder>::Evaluate(
const ContinuousIndexType & cindex,
WeightsType & weights,
IndexType & startIndex) const
{
weights = this->Evaluate(cindex, startIndex);
} // end Evaluate()
/**
* ********************* EvaluateDerivative ****************************
*/
template <typename TCoordRep, unsigned int VSpaceDimension, unsigned int VSplineOrder>
auto
RecursiveBSplineInterpolationWeightFunction<TCoordRep, VSpaceDimension, VSplineOrder>::EvaluateDerivative(
const ContinuousIndexType & cindex,
const IndexType & startIndex) const -> WeightsType
{
WeightsType derivativeWeights;
for (unsigned int i = 0; i < SpaceDimension; ++i)
{
double x = cindex[i] - static_cast<double>(startIndex[i]);
DerivativeKernelType::FastEvaluate(x, &derivativeWeights[i * (VSplineOrder + 1)]);
}
return derivativeWeights;
} // end EvaluateDerivative()
/**
* ********************* EvaluateSecondOrderDerivative ****************************
*/
template <typename TCoordRep, unsigned int VSpaceDimension, unsigned int VSplineOrder>
auto
RecursiveBSplineInterpolationWeightFunction<TCoordRep, VSpaceDimension, VSplineOrder>::EvaluateSecondOrderDerivative(
const ContinuousIndexType & cindex,
const IndexType & startIndex) const -> WeightsType
{
WeightsType hessianWeights;
for (unsigned int i = 0; i < SpaceDimension; ++i)
{
double x = cindex[i] - static_cast<double>(startIndex[i]);
SecondOrderDerivativeKernelType::FastEvaluate(x, &hessianWeights[i * (VSplineOrder + 1)]);
}
return hessianWeights;
} // end EvaluateSecondOrderDerivative()
} // end namespace itk
#endif
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