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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.
*
*=========================================================================*/
#ifndef itkLabelImageGenericInterpolateImageFunction_hxx
#define itkLabelImageGenericInterpolateImageFunction_hxx
#include <itkImageRegionConstIterator.h>
namespace itk
{
template <typename TInputImage, template <typename, typename> class TInterpolator, typename TCoordRep>
void
LabelImageGenericInterpolateImageFunction<TInputImage, TInterpolator, TCoordRep>::SetInputImage(
const TInputImage * image)
{
/* We have one adaptor and one interpolator per label to keep the class thread-safe:
* changing the adaptor's accepted value wouldn't work when called from a multi-threaded filter */
using IteratorType = itk::ImageRegionConstIterator<TInputImage>;
if (image)
{
m_Labels.clear();
IteratorType it(image, image->GetLargestPossibleRegion());
for (it.GoToBegin(); !it.IsAtEnd(); ++it)
{
m_Labels.insert(it.Get());
}
m_InternalInterpolators.clear();
m_LabelSelectionAdaptors.clear();
for (auto i = m_Labels.begin(); i != m_Labels.end(); ++i)
{
typename LabelSelectionAdaptorType::Pointer adapt = LabelSelectionAdaptorType::New();
// This adaptor doesn't implement Set() so this should be safe
adapt->SetImage(const_cast<TInputImage *>(image));
adapt->SetAcceptedValue(*i);
m_LabelSelectionAdaptors.push_back(adapt);
typename InternalInterpolatorType::Pointer interp = InternalInterpolatorType::New();
interp->SetInputImage(adapt);
m_InternalInterpolators.push_back(interp);
}
}
Superclass::SetInputImage(image);
}
template <typename TInputImage, template <typename, typename> class TInterpolator, typename TCoordRep>
typename LabelImageGenericInterpolateImageFunction<TInputImage, TInterpolator, TCoordRep>::OutputType
LabelImageGenericInterpolateImageFunction<TInputImage, TInterpolator, TCoordRep>::EvaluateAtContinuousIndex(
const ContinuousIndexType & cindex,
OutputType * itkNotUsed(grad)) const
{
/* Interpolate the binary mask corresponding to each label and return the label
* with the highest value */
double value = 0;
InputPixelType best_label = itk::NumericTraits<InputPixelType>::ZeroValue();
int i = 0;
for (auto it = m_Labels.begin(); it != m_Labels.end(); ++it)
{
double tmp = m_InternalInterpolators[i]->EvaluateAtContinuousIndex(cindex);
if (tmp > value)
{
value = tmp;
best_label = (*it);
}
++i;
}
return best_label;
}
} // namespace itk
#endif
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