File: itkEuclideanDistance.txx

package info (click to toggle)
insighttoolkit 3.18.0-5
  • links: PTS, VCS
  • area: main
  • in suites: squeeze
  • size: 110,432 kB
  • ctags: 74,559
  • sloc: cpp: 412,627; ansic: 196,210; fortran: 28,000; python: 3,852; tcl: 2,005; sh: 1,186; java: 583; makefile: 458; csh: 220; perl: 193; xml: 20
file content (113 lines) | stat: -rwxr-xr-x 3,155 bytes parent folder | download
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
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkEuclideanDistance.txx,v $
  Language:  C++
  Date:      $Date: 2009-03-04 15:23:47 $
  Version:   $Revision: 1.13 $

  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 __itkEuclideanDistance_txx
#define __itkEuclideanDistance_txx


namespace itk { 
namespace Statistics {

template< class TVector >
inline double
EuclideanDistance< TVector >
::Evaluate(const TVector &x1, const TVector &x2) const
{
  if( MeasurementVectorTraits::GetLength( x1 ) != 
      MeasurementVectorTraits::GetLength( x2 ) )
    {
    itkExceptionMacro( << "Vector lengths must be equal." );
    }
  
  double temp, distance = NumericTraits< double >::Zero;
  
  for(unsigned int i = 0; i < x1.Size(); i++ )
    {
    temp = x1[i] - x2[i];
    distance += temp * temp;
    }
  
  return vcl_sqrt(distance);
}


template< class TVector >
inline double
EuclideanDistance< TVector >
::Evaluate(const TVector &x) const
{
  MeasurementVectorSizeType 
    measurementVectorSize = this->GetMeasurementVectorSize();
  if(measurementVectorSize == 0) 
    {
    itkExceptionMacro( << "Please set the MeasurementVectorSize first" );
    }
  MeasurementVectorTraits::Assert( this->m_Origin, measurementVectorSize, 
    "EuclideanDistance::Evaluate Origin and input vector have different lengths");
  
  double temp, distance = NumericTraits< double >::Zero;
  
  for(unsigned int i = 0; i < measurementVectorSize; i++ )
    {
    temp = this->GetOrigin()[i] - x[i];
    distance += temp * temp;
    }
  
  return vcl_sqrt(distance);
}

template< class TVector >
inline double
EuclideanDistance< TVector >
::Evaluate(const ValueType &a, const ValueType &b) const
{
  double temp = a - b;
  return vcl_sqrt(temp * temp);
}

template< class TVector >
inline bool
EuclideanDistance< TVector >
::IsWithinRange(const TVector &x, const double radius) const 
{
  MeasurementVectorSizeType 
    measurementVectorSize = this->GetMeasurementVectorSize();
  if(measurementVectorSize == 0) 
    {
    itkExceptionMacro( << "Please set the MeasurementVectorSize first" );
    }
  MeasurementVectorTraits::Assert( this->m_Origin, measurementVectorSize, 
    "EuclideanDistance::IsWithinRange Origin and input vector have different lengths");
  
  double squaredRadius = radius * radius;
  double sum = NumericTraits< double >::Zero;
  double temp;
  for ( unsigned int i = measurementVectorSize; i > 0; --i )
    {
    temp = this->Evaluate( this->GetOrigin()[i-1], x[i-1] );
    sum += temp * temp;
    if (sum > squaredRadius)
      {
      return false;
      }
    }
  return true;
}

} // end of namespace Statistics 
} // end of namespace itk

#endif