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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 itkCannySegmentationLevelSetFunction_h
#define itkCannySegmentationLevelSetFunction_h
#include "itkSegmentationLevelSetFunction.h"
#include "itkCastImageFilter.h"
#include "itkCannyEdgeDetectionImageFilter.h"
#include "itkDanielssonDistanceMapImageFilter.h"
namespace itk
{
/** \class CannySegmentationLevelSetFunction
* \brief A refinement of the standard level-set function which computes a
* speed term and advection term based on pseudo-Canny edges. See
* CannySegmentationLevelSetImageFilter for complete information.
* \ingroup ITKLevelSets
*/
template <typename TImageType, typename TFeatureImageType = TImageType>
class ITK_TEMPLATE_EXPORT CannySegmentationLevelSetFunction
: public SegmentationLevelSetFunction<TImageType, TFeatureImageType>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(CannySegmentationLevelSetFunction);
/** Standard class type aliases. */
using Self = CannySegmentationLevelSetFunction;
using Superclass = SegmentationLevelSetFunction<TImageType, TFeatureImageType>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
using FeatureImageType = TFeatureImageType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(CannySegmentationLevelSetFunction);
/** Extract some parameters from the superclass. */
using typename Superclass::ImageType;
using typename Superclass::ScalarValueType;
using typename Superclass::VectorImageType;
using typename Superclass::FeatureScalarType;
using typename Superclass::RadiusType;
/** Extract some parameters from the superclass. */
static constexpr unsigned int ImageDimension = Superclass::ImageDimension;
/** */
void
SetThreshold(ScalarValueType v)
{
m_Threshold = v;
}
ScalarValueType
GetThreshold() const
{
return m_Threshold;
}
/** */
void
SetVariance(double v)
{
m_Variance = v;
}
double
GetVariance() const
{
return m_Variance;
}
/** Compute the Speed Image. The Speed Image is the distance to the
canny edges. */
void
CalculateSpeedImage() override;
/** Compute the advection image. The Advection Image is the gradient
image attenuated with the distance to the canny edges. */
void
CalculateAdvectionImage() override;
/** Compute the distance image. This is the distance to the canny
* edges. */
virtual void
CalculateDistanceImage();
void
Initialize(const RadiusType & r) override
{
Superclass::Initialize(r);
this->SetAdvectionWeight(-1.0 * NumericTraits<ScalarValueType>::OneValue());
this->SetPropagationWeight(-1.0 * NumericTraits<ScalarValueType>::OneValue());
this->SetCurvatureWeight(NumericTraits<ScalarValueType>::OneValue());
}
ImageType *
GetCannyImage()
{
return m_Canny->GetOutput();
}
protected:
CannySegmentationLevelSetFunction()
{
m_Variance = 0.0;
m_Threshold = ScalarValueType{};
m_Caster = CastImageFilter<FeatureImageType, ImageType>::New();
m_Canny = CannyEdgeDetectionImageFilter<ImageType, ImageType>::New();
m_Distance = DanielssonDistanceMapImageFilter<ImageType, ImageType>::New();
}
~CannySegmentationLevelSetFunction() override = default;
private:
ScalarValueType m_Variance{};
double m_Threshold{};
typename CannyEdgeDetectionImageFilter<ImageType, ImageType>::Pointer m_Canny{};
typename DanielssonDistanceMapImageFilter<ImageType, ImageType>::Pointer m_Distance{};
typename CastImageFilter<FeatureImageType, ImageType>::Pointer m_Caster{};
/** If FeatureImageType != ImageType,
* use the CastImageFilter to match them.
*/
template <typename DummyImagePointerType>
void
AssignCannyInput(typename FeatureImageType::Pointer & feature, DummyImagePointerType &)
{
m_Caster->SetInput(feature);
m_Canny->SetInput(m_Caster->GetOutput());
}
/** If FeatureImageType == ImageType,
* assign directly to the Canny filter
*/
void
AssignCannyInput(typename FeatureImageType::Pointer & feature, typename FeatureImageType::Pointer &)
{
m_Canny->SetInput(feature);
}
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkCannySegmentationLevelSetFunction.hxx"
#endif
#endif
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