/usr/include/InsightToolkit/Algorithms/itkUnaryMedialNodeMetric.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 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkUnaryMedialNodeMetric.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 __itkUnaryMedialNodeMetric_h
#define __itkUnaryMedialNodeMetric_h
#include "itkLightObject.h"
#include "vnl/vnl_vector_fixed.h"
#include "itkBloxCoreAtomPixel.h"
namespace itk
{
/** \class UnaryMedialNodeMetric
* \brief Compares the scale and dimensionality of two medial nodes.
*
* The class is templated over image dimension. The metric
* measures the similarity of two medial nodes based on
* their eigenvalues and scales. The unary metric is
* calculated by u = sum(L^2 * S), where L is the difference in
* eigenvalues and S is the ratio of the difference in
* medial node scales and sum of the medial node scales.
* The metric is normalized such that a value of 0
* means that the nodes are perfectly similar and that
* a value of 1 means that the nodes are not similar.
*
* Reference: Tamburo, Cois, Shelton, Stetten. Medial Node
* Correspondences Towards Automated Registration, Lecture
* Notes in Computer Science (in press), 2003.
*
* \ingroup ImageFeatureSimilarityMetrics
*/
template<int VDimensions = 3>
class ITK_EXPORT UnaryMedialNodeMetric : public LightObject
{
public:
/** Standard class typedefs. */
typedef UnaryMedialNodeMetric Self;
typedef LightObject Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(UnaryMedialNodeMetric, LightObject);
/** Pixel typedef. */
typedef BloxCoreAtomPixel<VDimensions> MedialNodeType;
typedef typename BloxCoreAtomPixel<VDimensions>::Pointer MedialNodePointerType;
typedef typename MedialNodeType::EigenvalueType EigenvalueType;
/** Initialize and compute the Unary Metric. */
void Initialize(void);
/** Set the two medial nodes to compute a unary metric for. */
void SetMedialNodes(MedialNodeType * medialNodeA, MedialNodeType * medialNodeB);
/** Return the resulting unary metric value for a
* given two medial nodes. */
double GetResult(){return m_MetricResult;}
protected:
/** Default Constructor. */
UnaryMedialNodeMetric();
/** Default Destructor. */
~UnaryMedialNodeMetric(){}
void operator=(const Self&); //purposely not implemented
void PrintSelf(std::ostream& os, Indent indent) const;
private:
/** The two medial nodes to compute the unary metric for. */
MedialNodeType * m_MedialNodeA;
MedialNodeType * m_MedialNodeB;
/** Resulting metric value. */
double m_MetricResult;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkUnaryMedialNodeMetric.txx"
#endif
#endif
|