158
|
1 /**
|
|
2 * Stone of Orthanc
|
|
3 * Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics
|
|
4 * Department, University Hospital of Liege, Belgium
|
|
5 * Copyright (C) 2017-2018 Osimis S.A., Belgium
|
|
6 *
|
|
7 * This program is free software: you can redistribute it and/or
|
|
8 * modify it under the terms of the GNU Affero General Public License
|
|
9 * as published by the Free Software Foundation, either version 3 of
|
|
10 * the License, or (at your option) any later version.
|
|
11 *
|
|
12 * This program is distributed in the hope that it will be useful, but
|
|
13 * WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
|
15 * Affero General Public License for more details.
|
|
16 *
|
|
17 * You should have received a copy of the GNU Affero General Public License
|
|
18 * along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|
19 **/
|
|
20
|
|
21
|
|
22 #include "LinearAlgebra.h"
|
|
23
|
|
24 #include <Core/Logging.h>
|
|
25 #include <Core/OrthancException.h>
|
|
26 #include <Core/Toolbox.h>
|
|
27
|
|
28 #include <stdio.h>
|
|
29 #include <boost/lexical_cast.hpp>
|
|
30
|
|
31 namespace OrthancStone
|
|
32 {
|
|
33 namespace LinearAlgebra
|
|
34 {
|
|
35 void Print(const Vector& v)
|
|
36 {
|
|
37 for (size_t i = 0; i < v.size(); i++)
|
|
38 {
|
|
39 printf("%g\n", v[i]);
|
|
40 //printf("%8.2f\n", v[i]);
|
|
41 }
|
|
42 printf("\n");
|
|
43 }
|
|
44
|
|
45
|
|
46 void Print(const Matrix& m)
|
|
47 {
|
|
48 for (size_t i = 0; i < m.size1(); i++)
|
|
49 {
|
|
50 for (size_t j = 0; j < m.size2(); j++)
|
|
51 {
|
|
52 printf("%g ", m(i,j));
|
|
53 //printf("%8.2f ", m(i,j));
|
|
54 }
|
|
55 printf("\n");
|
|
56 }
|
|
57 printf("\n");
|
|
58 }
|
|
59
|
|
60
|
|
61 bool ParseVector(Vector& target,
|
|
62 const std::string& value)
|
|
63 {
|
|
64 std::vector<std::string> items;
|
|
65 Orthanc::Toolbox::TokenizeString(items, value, '\\');
|
|
66
|
|
67 target.resize(items.size());
|
|
68
|
|
69 for (size_t i = 0; i < items.size(); i++)
|
|
70 {
|
|
71 try
|
|
72 {
|
|
73 target[i] = boost::lexical_cast<double>(Orthanc::Toolbox::StripSpaces(items[i]));
|
|
74 }
|
|
75 catch (boost::bad_lexical_cast&)
|
|
76 {
|
|
77 target.clear();
|
|
78 return false;
|
|
79 }
|
|
80 }
|
|
81
|
|
82 return true;
|
|
83 }
|
|
84
|
|
85
|
|
86 bool ParseVector(Vector& target,
|
|
87 const Orthanc::DicomMap& dataset,
|
|
88 const Orthanc::DicomTag& tag)
|
|
89 {
|
|
90 std::string value;
|
|
91 return (dataset.CopyToString(value, tag, false) &&
|
|
92 ParseVector(target, value));
|
|
93 }
|
|
94
|
|
95
|
|
96 void AssignVector(Vector& v,
|
|
97 double v1,
|
|
98 double v2)
|
|
99 {
|
|
100 v.resize(2);
|
|
101 v[0] = v1;
|
|
102 v[1] = v2;
|
|
103 }
|
|
104
|
|
105
|
|
106 void AssignVector(Vector& v,
|
|
107 double v1,
|
|
108 double v2,
|
|
109 double v3)
|
|
110 {
|
|
111 v.resize(3);
|
|
112 v[0] = v1;
|
|
113 v[1] = v2;
|
|
114 v[2] = v3;
|
|
115 }
|
|
116
|
|
117
|
|
118 bool IsNear(double x,
|
|
119 double y)
|
|
120 {
|
|
121 // As most input is read as single-precision numbers, we take the
|
|
122 // epsilon machine for float32 into consideration to compare numbers
|
|
123 return IsNear(x, y, 10.0 * std::numeric_limits<float>::epsilon());
|
|
124 }
|
|
125
|
|
126
|
|
127 void NormalizeVector(Vector& u)
|
|
128 {
|
|
129 double norm = boost::numeric::ublas::norm_2(u);
|
|
130 if (!IsCloseToZero(norm))
|
|
131 {
|
|
132 u = u / norm;
|
|
133 }
|
|
134 }
|
|
135
|
|
136
|
|
137 void CrossProduct(Vector& result,
|
|
138 const Vector& u,
|
|
139 const Vector& v)
|
|
140 {
|
|
141 if (u.size() != 3 ||
|
|
142 v.size() != 3)
|
|
143 {
|
|
144 throw Orthanc::OrthancException(Orthanc::ErrorCode_ParameterOutOfRange);
|
|
145 }
|
|
146
|
|
147 result.resize(3);
|
|
148
|
|
149 result[0] = u[1] * v[2] - u[2] * v[1];
|
|
150 result[1] = u[2] * v[0] - u[0] * v[2];
|
|
151 result[2] = u[0] * v[1] - u[1] * v[0];
|
|
152 }
|
|
153
|
|
154
|
|
155 void FillMatrix(Matrix& target,
|
|
156 size_t rows,
|
|
157 size_t columns,
|
|
158 const double values[])
|
|
159 {
|
|
160 target.resize(rows, columns);
|
|
161
|
|
162 size_t index = 0;
|
|
163
|
|
164 for (size_t y = 0; y < rows; y++)
|
|
165 {
|
|
166 for (size_t x = 0; x < columns; x++, index++)
|
|
167 {
|
|
168 target(y, x) = values[index];
|
|
169 }
|
|
170 }
|
|
171 }
|
|
172
|
|
173
|
|
174 void FillVector(Vector& target,
|
|
175 size_t size,
|
|
176 const double values[])
|
|
177 {
|
|
178 target.resize(size);
|
|
179
|
|
180 for (size_t i = 0; i < size; i++)
|
|
181 {
|
|
182 target[i] = values[i];
|
|
183 }
|
|
184 }
|
|
185
|
|
186
|
|
187 void Convert(Matrix& target,
|
|
188 const Vector& source)
|
|
189 {
|
|
190 const size_t n = source.size();
|
|
191
|
|
192 target.resize(n, 1);
|
|
193
|
|
194 for (size_t i = 0; i < n; i++)
|
|
195 {
|
|
196 target(i, 0) = source[i];
|
|
197 }
|
|
198 }
|
|
199 }
|
|
200 }
|