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
|
/*
*
* Copyright (C) 2001-2005
* Ichiro Fujinaga, Michael Droettboom, and Karl MacMillan
*
* This program 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 2
* 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 this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
*/
#ifndef mgd06292004_corelation
#define mgd06292004_corelation
#include "gamera.hpp"
namespace Gamera {
template<class T, class U>
double corelation_weighted(const T& a, const U& b, const Point& p, double bb, double bw, double wb, double ww) {
size_t ul_y = std::max(a.ul_y(), p.y());
size_t ul_x = std::max(a.ul_x(), p.x());
size_t lr_y = std::min(a.lr_y(), p.y() + b.nrows());
size_t lr_x = std::min(a.lr_x(), p.x() + b.ncols());
double result = 0;
double area = 0;
for (size_t y = ul_y, ya = ul_y-a.ul_y(), yb = ul_y-p.y(); y < lr_y; ++y, ++ya, ++yb) {
for (size_t x = ul_x, xa = ul_x-a.ul_x(), xb = ul_x-p.x(); x < lr_x; ++x, ++xa, ++xb) {
if (is_black(b.get(Point(xb, yb)))) {
area++;
if (is_black(a.get(Point(xa, ya))))
result += bb;
else
result += bw;
} else {
if (is_black(a.get(Point(xa, ya))))
result += wb;
else
result += ww;
}
}
}
return result / area;
}
inline double corelation_absolute_distance(OneBitPixel a, OneBitPixel b) {
if (is_black(a) == is_black(b))
return 0.0;
return 1.0;
}
inline double corelation_absolute_distance(GreyScalePixel a, OneBitPixel b) {
if (is_black(b))
return (double)a;
return (double)(NumericTraits<GreyScalePixel>::max() - a);
}
template<class T, class U>
double corelation_sum(const T& a, const U& b, const Point& p,
ProgressBar progress_bar = ProgressBar()) {
size_t ul_y = std::max(a.ul_y(), p.y());
size_t ul_x = std::max(a.ul_x(), p.x());
size_t lr_y = std::min(a.lr_y(), p.y() + b.nrows());
size_t lr_x = std::min(a.lr_x(), p.x() + b.ncols());
double result = 0;
double area = 0;
progress_bar.set_length(lr_y - ul_y);
for (size_t y = ul_y, ya = ul_y-a.ul_y(), yb = ul_y-p.y(); y < lr_y; ++y, ++ya, ++yb) {
for (size_t x = ul_x, xa = ul_x-a.ul_x(), xb = ul_x-p.x(); x < lr_x; ++x, ++xa, ++xb) {
typename T::value_type px_a = a.get(Point(xb, yb));
typename U::value_type px_b = b.get(Point(xb, yb));
if (is_black(px_b))
area++;
result += corelation_absolute_distance(px_a, px_b);
}
progress_bar.step();
}
return result / area;
}
inline double corelation_square_absolute_distance(OneBitPixel a, OneBitPixel b) {
if (is_black(a) == is_black(b))
return 0.0;
return 1.0;
}
inline double corelation_square_absolute_distance(GreyScalePixel a, OneBitPixel b) {
double result = 0;
if (is_black(a))
result = a;
else
result = (double)(NumericTraits<GreyScalePixel>::max() - a);
return result * result;
}
template<class T, class U>
double corelation_sum_squares(const T& a, const U& b, const Point& p, ProgressBar progress_bar = ProgressBar()) {
size_t ul_y = std::max(a.ul_y(), p.y());
size_t ul_x = std::max(a.ul_x(), p.x());
size_t lr_y = std::min(a.lr_y(), p.y() + b.nrows());
size_t lr_x = std::min(a.lr_x(), p.x() + b.ncols());
double result = 0;
double area = 0;
progress_bar.set_length(lr_y - ul_y);
for (size_t y = ul_y, ya = ul_y-a.ul_y(), yb = ul_y-p.y(); y < lr_y; ++y, ++ya, ++yb) {
for (size_t x = ul_x, xa = ul_x-a.ul_x(), xb = ul_x-p.x(); x < lr_x; ++x, ++xa, ++xb) {
typename T::value_type px_a = a.get(Point(xb, yb));
typename U::value_type px_b = b.get(Point(xb, yb));
if (is_black(px_b))
area++;
result += corelation_square_absolute_distance(px_a, px_b);
}
progress_bar.step();
}
return result / area;
}
}
#endif
|
