/usr/include/InsightToolkit/Algorithms/itkCannySegmentationLevelSetFunction.h is in libinsighttoolkit3-dev 3.20.1-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkCannySegmentationLevelSetFunction.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#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.
*/
template <class TImageType, class TFeatureImageType = TImageType>
class ITK_EXPORT CannySegmentationLevelSetFunction
: public SegmentationLevelSetFunction<TImageType, TFeatureImageType>
{
public:
/** Standard class typedefs. */
typedef CannySegmentationLevelSetFunction Self;
typedef SegmentationLevelSetFunction<TImageType, TFeatureImageType>
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
typedef TFeatureImageType FeatureImageType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods) */
itkTypeMacro( CannySegmentationLevelSetFunction, SegmentationLevelSetFunction );
/** Extract some parameters from the superclass. */
typedef typename Superclass::ImageType ImageType;
typedef typename Superclass::ScalarValueType ScalarValueType;
typedef typename Superclass::VectorImageType VectorImageType;
typedef typename Superclass::FeatureScalarType FeatureScalarType;
typedef typename Superclass::RadiusType RadiusType;
/** Extract some parameters from the superclass. */
itkStaticConstMacro(ImageDimension, unsigned int,
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. */
virtual void CalculateSpeedImage();
/** Compute the advection image. The Advection Image is the gradeint
image attenuated with the distance to the canny edges. */
virtual void CalculateAdvectionImage();
/** Compute the distance image. This is the distance to the canny
* edges. */
virtual void CalculateDistanceImage();
virtual void Initialize(const RadiusType &r)
{
Superclass::Initialize(r);
this->SetAdvectionWeight(-1.0 * NumericTraits<ScalarValueType>::One);
this->SetPropagationWeight(-1.0 * NumericTraits<ScalarValueType>::One);
this->SetCurvatureWeight(NumericTraits<ScalarValueType>::One);
}
ImageType *GetCannyImage()
{ return m_Canny->GetOutput(); }
protected:
CannySegmentationLevelSetFunction()
{
m_Variance = 0.0;
m_Threshold = NumericTraits<ScalarValueType>::Zero;
m_Caster = CastImageFilter<FeatureImageType,ImageType>::New();
m_Canny = CannyEdgeDetectionImageFilter<ImageType,ImageType>::New();
m_Distance = DanielssonDistanceMapImageFilter<ImageType,ImageType>::New();
}
virtual ~CannySegmentationLevelSetFunction() {}
CannySegmentationLevelSetFunction(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
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;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkCannySegmentationLevelSetFunction.txx"
#endif
#endif
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