/usr/include/mia-2.4/mia/core/statistics.hh is in libmia-2.4-dev 2.4.3-5.
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 | /* -*- mia-c++ -*-
*
* This file is part of MIA - a toolbox for medical image analysis
* Copyright (c) Leipzig, Madrid 1999-2016 Gert Wollny
*
* MIA is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with MIA; if not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef mia_core_statistics_hh
#define mia_core_statistics_hh
#include <cmath>
#include <mia/core/filter.hh>
NS_MIA_BEGIN
/**
\ingroup misc
\brief Functor to be called by mia::filter to evaluate mean and variance of
a series of data.
*/
struct FMeanVariance: public TFilter< std::pair<double, double> > {
/** result type of this functor
- first = mean
- second = variance
*/
typedef TFilter< std::pair<double, double> >::result_type result_type;
/**
\tparam T container type T holding the data to be analyzed. Must provide
the methods begin() and end() returning a forward_iterator;
\param data the data to be anlyzed
\returns a std::pair first=mean, second=variance
*/
template <typename T>
result_type operator()( const T& data) const;
};
/**
\ingroup misc
\brief Functor to be called by mia::filter to evaluate median and median average distance (MAD) of
a series of data.
*/
struct FMedianMAD: public TFilter< std::pair<double, double> > {
/** result type of this functor
- first = median
- second = MAD
*/
typedef TFilter< std::pair<double, double> >::result_type result_type;
/**
\tparam T container type T holding the data to be analyzed. Must provide
the methods begin() and end() returning a forward_iterator;
\param data the data to be anlyzed
\returns a std::pair first=median, second=MAD
*/
template <typename T>
result_type operator()( const T& data) const;
private:
double median(std::vector<double>& buf)const;
};
template <typename T>
FMeanVariance::result_type FMeanVariance::operator()( const T& data) const
{
double sum = 0.0;
double sum2 = 0.0;
double n = data.size();
for (auto i = data.begin(); i != data.end(); ++i) {
sum += *i;
sum2 += *i * *i;
}
FMeanVariance::result_type result = {0.0, 0.0};
if (n > 0) {
result.first = sum / n;
if (n > 1)
result.second = sqrt((sum2 - result.first * sum) / (n - 1));
}
return result;
}
template <typename T>
FMedianMAD::result_type FMedianMAD::operator()( const T& data) const
{
std::vector<double> buffer(data.size());
copy(data.begin(), data.end(), buffer.begin());
FMedianMAD::result_type result;
result.first = median(buffer);
transform(buffer.begin(), buffer.end(), buffer.begin(),
[&result](double x) {return fabs(x - result.first);});
result.second = median(buffer);
return result;
}
double FMedianMAD::median(std::vector<double>& buf)const
{
if (buf.empty())
return 0.0;
if (buf.size() & 1) {
auto i = buf.begin() + (buf.size() - 1) / 2;
std::nth_element(buf.begin(), i, buf.end());
return *i;
}else{
auto i1 = buf.begin() + buf.size() / 2 - 1;
auto i2 = buf.begin() + buf.size() / 2;
std::nth_element(buf.begin(), i1, buf.end());
std::nth_element(buf.begin(), i2, buf.end());
return (*i1 + *i2) / 2.0;
}
}
NS_MIA_END
#endif
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