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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 itkMalcolmSparseLevelSetImage_hxx
#define itkMalcolmSparseLevelSetImage_hxx
namespace itk
{
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
MalcolmSparseLevelSetImage<VDimension>::MalcolmSparseLevelSetImage()
{
this->InitializeLayers();
this->InitializeInternalLabelList();
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
auto
MalcolmSparseLevelSetImage<VDimension>::Evaluate(const InputType & inputPixel) const -> OutputType
{
InputType mapIndex = inputPixel - this->m_DomainOffset;
auto layerIt = this->m_Layers.begin();
while (layerIt != this->m_Layers.end())
{
auto it = (layerIt->second).find(mapIndex);
if (it != (layerIt->second).end())
{
return it->second;
}
++layerIt;
}
if (this->m_LabelMap->GetLabelObject(MinusOneLayer())->HasIndex(mapIndex))
{
return MinusOneLayer();
}
else
{
char status = this->m_LabelMap->GetPixel(mapIndex);
if (status == PlusOneLayer())
{
return PlusOneLayer();
}
else
{
itkGenericExceptionMacro("status " << static_cast<int>(status) << " should be 1 or -1");
}
}
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
auto
MalcolmSparseLevelSetImage<VDimension>::EvaluateHessian(const InputType & inputPixel) const -> HessianType
{
(void)inputPixel;
itkGenericExceptionMacro("The approximation of the hessian in the Malcolm's"
<< " representation is poor, and far to be representative."
<< " If it was required for regularization purpose, "
<< " you better check recommended regularization methods"
<< " for Malcolm's representation");
}
// ----------------------------------------------------------------------------
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
auto
MalcolmSparseLevelSetImage<VDimension>::EvaluateLaplacian(const InputType & inputPixel) const -> OutputRealType
{
(void)inputPixel;
itkGenericExceptionMacro("The approximation of the hessian in the Malcolm's"
<< " representation is poor, and far to be representative."
<< " If it was required for regularization purpose, "
<< " you better check recommended regularization methods"
<< " for Shi's representation");
}
// ----------------------------------------------------------------------------
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
auto
MalcolmSparseLevelSetImage<VDimension>::EvaluateMeanCurvature(const InputType & inputPixel) const -> OutputRealType
{
(void)inputPixel;
itkGenericExceptionMacro("The approximation of the hessian in the Malcolm's"
<< " representation is poor, and far to be representative."
<< " If it was required for regularization purpose, "
<< " you better check recommended regularization methods"
<< " for Shi's representation");
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
void
MalcolmSparseLevelSetImage<VDimension>::EvaluateHessian(const InputType & inputPixel, LevelSetDataType & data) const
{
(void)inputPixel;
if (data.Hessian.m_Computed)
{
return;
}
data.Hessian.m_Value = this->EvaluateHessian(inputPixel);
data.Hessian.m_Computed = true;
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
void
MalcolmSparseLevelSetImage<VDimension>::EvaluateLaplacian(const InputType & inputPixel, LevelSetDataType & data) const
{
if (!data.Laplacian.m_Computed)
{
return;
}
data.Laplacian.m_Value = this->EvaluateLaplacian(inputPixel);
data.Laplacian.m_Computed = true;
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
void
MalcolmSparseLevelSetImage<VDimension>::EvaluateMeanCurvature(const InputType & inputPixel,
LevelSetDataType & data) const
{
if (!data.MeanCurvature.m_Computed)
{
return;
}
data.MeanCurvature.m_Value = this->EvaluateMeanCurvature(inputPixel);
data.MeanCurvature.m_Computed = true;
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
void
MalcolmSparseLevelSetImage<VDimension>::InitializeLayers()
{
this->m_Layers.clear();
this->m_Layers[ZeroLayer()] = LayerType();
}
// ----------------------------------------------------------------------------
template <unsigned int VDimension>
void
MalcolmSparseLevelSetImage<VDimension>::InitializeInternalLabelList()
{
this->m_InternalLabelList.clear();
this->m_InternalLabelList.push_back(MinusOneLayer());
this->m_InternalLabelList.push_back(ZeroLayer());
}
} // namespace itk
#endif // itkMalcolmSparseLevelSetImage_hxx
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