/usr/include/InsightToolkit/Algorithms/itkShapeDetectionLevelSetFunction.h is in libinsighttoolkit3-dev 3.20.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkShapeDetectionLevelSetFunction.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 __itkShapeDetectionLevelSetFunction_h
#define __itkShapeDetectionLevelSetFunction_h
#include "itkSegmentationLevelSetFunction.h"
namespace itk {
/** \class ShapeDetectionLevelSetFunction
*
* \brief This function is used in the ShapeDetectionLevelSetImageFilter to
* segment structures in an image based on a user supplied edge potential map.
*
* \par IMPORTANT
* The LevelSetFunction class contain additional information necessary
* to gain full understanding of how to use this function.
*
* ShapeDetectionLevelSetFunction is a subclass of the generic LevelSetFunction.
* It is used to segment structures in an image based on a user supplied
* edge potential map \f$ g(I) \f$, which
* has values close to zero in regions near edges (or high image gradient) and values
* close to one in regions with relatively constant intensity. Typically, the edge
* potential map is a function of the image gradient, for example:
*
* \f[ g(I) = 1 / ( 1 + | (\nabla * G)(I)| ) \f]
* \f[ g(I) = \exp^{-|(\nabla * G)(I)|} \f]
*
* where \f$ I \f$ is image intensity and
* \f$ (\nabla * G) \f$ is the derivative of Gaussian operator.
*
* The edge potential image is set via the SetFeatureImage() method.
*
* In this function both the propagation term \f$ P(\mathbf{x}) \f$
* and the curvature spatial modifier term \f$ Z(\mathbf{x}) \f$ are taken directly
* from the edge potential image such that:
*
* \f[ P(\mathbf{x}) = g(\mathbf{x}) \f]
* \f[ Z(\mathbf{x}) = g(\mathbf{x}) \f]
*
* Note that there is no advection term in this function.
*
* This implementation is based on:
* "Shape Modeling with Front Propagation: A Level Set Approach",
* R. Malladi, J. A. Sethian and B. C. Vermuri.
* IEEE Trans. on Pattern Analysis and Machine Intelligence,
* Vol 17, No. 2, pp 158-174, February 1995
*
* \sa LevelSetFunction
* \sa SegmentationLevelSetImageFunction
* \sa ShapeDetectionLevelSetImageFilter
*
* \ingroup FiniteDifferenceFunctions
*/
template <class TImageType, class TFeatureImageType = TImageType>
class ITK_EXPORT ShapeDetectionLevelSetFunction
: public SegmentationLevelSetFunction<TImageType, TFeatureImageType>
{
public:
/** Standard class typedefs. */
typedef ShapeDetectionLevelSetFunction 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( ShapeDetectionLevelSetFunction, SegmentationLevelSetFunction );
/** Extract some parameters from the superclass. */
typedef typename Superclass::ImageType ImageType;
typedef typename Superclass::NeighborhoodType NeighborhoodType;
typedef typename Superclass::ScalarValueType ScalarValueType;
typedef typename Superclass::FeatureScalarType FeatureScalarType;
typedef typename Superclass::RadiusType RadiusType;
typedef typename Superclass::FloatOffsetType FloatOffsetType;
typedef typename Superclass::GlobalDataStruct GlobalDataStruct;
/** Extract some parameters from the superclass. */
itkStaticConstMacro(ImageDimension, unsigned int,
Superclass::ImageDimension);
virtual void CalculateSpeedImage();
/** The curvature speed is same as the propagation speed. */
virtual ScalarValueType CurvatureSpeed(const NeighborhoodType & neighborhood,
const FloatOffsetType & offset, GlobalDataStruct *gd ) const
{ return PropagationSpeed( neighborhood, offset, gd ); }
virtual void Initialize(const RadiusType &r)
{
Superclass::Initialize(r);
this->SetAdvectionWeight( NumericTraits<ScalarValueType>::Zero );
this->SetPropagationWeight( NumericTraits<ScalarValueType>::One );
this->SetCurvatureWeight( NumericTraits<ScalarValueType>::One );
}
protected:
ShapeDetectionLevelSetFunction()
{
this->SetAdvectionWeight( NumericTraits<ScalarValueType>::Zero );
this->SetPropagationWeight( NumericTraits<ScalarValueType>::One );
this->SetCurvatureWeight( NumericTraits<ScalarValueType>::One );
}
virtual ~ShapeDetectionLevelSetFunction() {}
ShapeDetectionLevelSetFunction(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkShapeDetectionLevelSetFunction.txx"
#endif
#endif
|