/usr/include/ITK-4.5/itkEuclideanDistancePointMetric.h is in libinsighttoolkit4-dev 4.5.0-3.
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 | /*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://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 __itkEuclideanDistancePointMetric_h
#define __itkEuclideanDistancePointMetric_h
#include "itkPointSetToPointSetMetric.h"
#include "itkCovariantVector.h"
#include "itkPointSet.h"
#include "itkImage.h"
namespace itk
{
/** \class EuclideanDistancePointMetric
* \brief Computes the minimum distance between a moving point-set
* and a fixed point-set. A vector of minimum closest point distance is
* created for each point in the moving point-set.
* No correspondance is needed.
* For speed consideration, the point-set with the minimum number of points
* should be used as the moving point-set.
* If the number of points is high, the possibility of setting a distance map
* should improve the speed of the closest point computation.
*
* Reference: "A Method for Registration of 3-D Shapes",
* IEEE PAMI, Vol 14, No. 2, February 1992
*
* \ingroup RegistrationMetrics
* \ingroup ITKRegistrationCommon
*/
template< typename TFixedPointSet, typename TMovingPointSet,
typename TDistanceMap =
::itk::Image< unsigned short, TMovingPointSet::PointDimension > >
class EuclideanDistancePointMetric:
public PointSetToPointSetMetric< TFixedPointSet, TMovingPointSet >
{
public:
/** Standard class typedefs. */
typedef EuclideanDistancePointMetric Self;
typedef PointSetToPointSetMetric< TFixedPointSet, TMovingPointSet > 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(EuclideanDistancePointMetric, Object);
/** Types transferred from the base class */
typedef typename Superclass::TransformType TransformType;
typedef typename Superclass::TransformPointer TransformPointer;
typedef typename Superclass::TransformParametersType TransformParametersType;
typedef typename Superclass::TransformJacobianType TransformJacobianType;
typedef typename Superclass::MeasureType MeasureType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename Superclass::FixedPointSetType FixedPointSetType;
typedef typename Superclass::MovingPointSetType MovingPointSetType;
typedef typename Superclass::FixedPointSetConstPointer FixedPointSetConstPointer;
typedef typename Superclass::MovingPointSetConstPointer MovingPointSetConstPointer;
typedef typename Superclass::PointIterator PointIterator;
typedef typename Superclass::PointDataIterator PointDataIterator;
typedef TDistanceMap DistanceMapType;
typedef typename DistanceMapType::ConstPointer DistanceMapPointer;
/** Get the number of values */
unsigned int GetNumberOfValues() const;
/** Get the derivatives of the match measure. */
void GetDerivative(const TransformParametersType & parameters,
DerivativeType & Derivative) const;
/** Get the value for single valued optimizers. */
MeasureType GetValue(const TransformParametersType & parameters) const;
/** Get value and derivatives for multiple valued optimizers. */
void GetValueAndDerivative(const TransformParametersType & parameters,
MeasureType & Value, DerivativeType & Derivative) const;
/** Set/Get the distance map */
itkSetConstObjectMacro(DistanceMap, DistanceMapType);
itkGetConstObjectMacro(DistanceMap, DistanceMapType);
/** Set/Get if the distance should be squared. Default is true for computation
speed */
itkSetMacro(ComputeSquaredDistance, bool);
itkGetConstMacro(ComputeSquaredDistance, bool);
itkBooleanMacro(ComputeSquaredDistance);
protected:
EuclideanDistancePointMetric();
virtual ~EuclideanDistancePointMetric() {}
/** PrintSelf function */
void PrintSelf(std::ostream & os, Indent indent) const;
private:
EuclideanDistancePointMetric(const Self &); //purposely not implemented
void operator=(const Self &); //purposely not implemented
DistanceMapPointer m_DistanceMap;
bool m_ComputeSquaredDistance;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkEuclideanDistancePointMetric.hxx"
#endif
#endif
|