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
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkListSampleToHistogramGenerator.txx,v $
Language: C++
Date: $Date: 2009-03-04 15:23:55 $
Version: $Revision: 1.16 $
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 __itkListSampleToHistogramGenerator_txx
#define __itkListSampleToHistogramGenerator_txx
#include <exception>
namespace itk {
namespace Statistics {
template< class TListSample,
class THistogramMeasurement,
class TFrequencyContainer,
unsigned int TMeasurementVectorLength >
ListSampleToHistogramGenerator< TListSample,
THistogramMeasurement,
TFrequencyContainer,
TMeasurementVectorLength >
::ListSampleToHistogramGenerator()
{
m_Sizes.Fill(0);
m_Histogram = HistogramType::New();
m_MarginalScale = 100;
m_HistogramMin.Fill(0);
m_HistogramMax.Fill(0);
m_AutoMinMax = true;
}
template< class TListSample,
class THistogramMeasurement,
class TFrequencyContainer,
unsigned int TMeasurementVectorLength >
void
ListSampleToHistogramGenerator< TListSample,
THistogramMeasurement,
TFrequencyContainer,
TMeasurementVectorLength >
::GenerateData()
{
typename TListSample::MeasurementVectorType lower;
typename TListSample::MeasurementVectorType upper;
typename HistogramType::MeasurementVectorType h_upper = m_HistogramMax;
typename HistogramType::MeasurementVectorType h_lower = m_HistogramMin;
// must test for the list size to avoid making FindSampleBound() segfault.
// Also, the min and max can't be found automatically in that case. We can
// only return an empty histogram
if( m_AutoMinMax && m_List->Size() != 0 )
{
FindSampleBound(m_List, m_List->Begin(),
m_List->End(), lower, upper);
float margin;
for ( unsigned int i = 0; i < MeasurementVectorSize; i++ )
{
if ( !NumericTraits< THistogramMeasurement >::is_integer )
{
margin =
( (THistogramMeasurement)(upper[i] - lower[i]) /
(THistogramMeasurement) m_Sizes[i] ) /
(THistogramMeasurement) m_MarginalScale;
h_upper[i] = (THistogramMeasurement) (upper[i] + margin);
if(h_upper[i] <= upper[i])
{
// an overflow has occurred therefore set upper to upper
h_upper[i] = upper[i];
// Histogram measurement type would force the clipping the max value.
// Therefore we must call the following to include the max value:
m_Histogram->SetClipBinsAtEnds(false);
// The above function is okay since here we are within the autoMinMax
// computation and clearly the user intended to include min and max.
}
}
else
{
h_upper[i] = ((THistogramMeasurement) upper[i]) +
NumericTraits< THistogramMeasurement >::One;
if(h_upper[i] <= upper[i])
{
// an overflow has occurred therefore set upper to upper
h_upper[i] = upper[i];
// Histogram measurement type would force the clipping the max value.
// Therefore we must call the following to include the max value:
m_Histogram->SetClipBinsAtEnds(false);
// The above function is okay since here we are within the autoMinMax
// computation and clearly the user intended to include min and max.
}
}
h_lower[i] = ( THistogramMeasurement) lower[i];
}
}
// initialize the Histogram object using the sizes and
// the upper and lower bound from the FindSampleBound function
m_Histogram->Initialize(m_Sizes, h_lower, h_upper);
typename TListSample::ConstIterator iter = m_List->Begin();
typename TListSample::ConstIterator last = m_List->End();
typename HistogramType::IndexType index;
typename TListSample::MeasurementVectorType lvector;
typename HistogramType::MeasurementVectorType hvector;
unsigned int i;
while (iter != last)
{
lvector = iter.GetMeasurementVector();
for ( i = 0; i < HistogramType::MeasurementVectorSize; i++)
{
hvector[i] = (THistogramMeasurement) lvector[i];
}
m_Histogram->GetIndex(hvector,index);
if (!m_Histogram->IsIndexOutOfBounds(index))
{
// if the measurement vector is out of bound then
// the GetIndex method has returned an index set to the max size of
// the invalid dimension - even if the hvector is less than the minimum
// bin value.
// If the index isn't valid, we don't increase the frequency.
// See the comments in Histogram->GetIndex() for more info.
m_Histogram->IncreaseFrequency(index, 1);
}
++iter;
}
}
template< class TListSample,
class THistogramMeasurement,
class TFrequencyContainer,
unsigned int TMeasurementVectorLength >
void
ListSampleToHistogramGenerator< TListSample,
THistogramMeasurement,
TFrequencyContainer,
TMeasurementVectorLength >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "AutoMinMax: " << m_AutoMinMax << std::endl;
os << indent << "Sizes: " << m_Sizes << std::endl;
os << indent << "MarginalScale: "<< m_MarginalScale << std::endl;
os << indent << "HistogramMin: "<< m_HistogramMin << std::endl;
os << indent << "HistogramMax: "<< m_HistogramMax << std::endl;
}
} // end of namespace Statistics
} // end of namespace itk
#endif
|
