Loading...
Searching...
No Matches
ImpulseAvgOp.h
1/*
2
3MIT License
4
5Copyright (c) 2017 FMI Open Development / Markus Peura, first.last@fmi.fi
6
7Permission is hereby granted, free of charge, to any person obtaining a copy
8of this software and associated documentation files (the "Software"), to deal
9in the Software without restriction, including without limitation the rights
10to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
11copies of the Software, and to permit persons to whom the Software is
12furnished to do so, subject to the following conditions:
13
14The above copyright notice and this permission notice shall be included in all
15copies or substantial portions of the Software.
16
17THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
18IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
19FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
20AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
21LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
22OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
23SOFTWARE.
24
25 */
26/*
27Part of Rack development has been done in the BALTRAD projects part-financed
28by the European Union (European Regional Development Fund and European
29Neighbourhood Partnership Instrument, Baltic Sea Region Programme 2007-2013)
30 */
31#ifndef ImpulseAvgOp_H
32#define ImpulseAvgOp_H
33
34#include <drain/image/CoordinatePolicy.h>
35#include <drain/UniTuple.h>
36#include <sstream>
37#include <ostream>
38
39
40#include "drain/image/FilePng.h"
41//#include "drain/image/SegmentProber.h"
42
43#include "ImageOp.h"
44#include "ImpulseResponseOp.h"
45
46namespace drain
47{
48namespace image
49{
50
51template <class T>
52class Decay2 : public UniTuple<T,2> {
53
54public:
55
56 double & forward;
57 double & backward;
58
59 Decay2(double decay = 1.0) : forward(this->next()), backward(this->next()) {
60 this->fill(decay);
61 }
62
63 // Reference
64 template <size_t N>
65 Decay2(drain::UniTuple<T,N> & tuple, size_t i) : drain::UniTuple<T,2>(tuple, i), forward(this->next()), backward(this->next()){
66 };
67};
68
69template <class T>
70struct Decay4 : public drain::UniTuple<T,4> {
71
72 Decay2<T> horz;
73 Decay2<T> vert;
74
75 Decay4(T decay=0.5) : horz(this->tuple(), 0), vert(this->tuple(), 2) {
76 this->fill(decay);
77 }
78
79
80 Decay4(const Decay4 & r) : horz(this->tuple(), 0), vert(this->tuple(), 2){
81 this->assign(r);
82 };
83
84 Decay4 & operator=(const Decay4<T> & decay){
85 this->set(decay.tuple());
86 return *this;
87 }
88
89};
90
91
92// IMPLEMENTATIONS
93
94
95struct ImpulseAvgConf : public BeanLike {
96
97
98 inline
99 ImpulseAvgConf() : BeanLike(__FUNCTION__, "Infinite-impulse response type spreading"), decays(0.75){
100 // this->parameters.link("decayHorz", decayHorz = 0.9);
101 // this->parameters.link("decayVert", decayVert = 0.9);
102 this->parameters.link("decay", decays.tuple()); //.fillArray = true;
103 //this->parameters.link("decay", decay = 0.9);
104 // this->parameters.link("decayVert", decayVert = 0.9);
105 };
106
107 inline
108 ImpulseAvgConf(const ImpulseAvgConf & conf) :
109 BeanLike(__FUNCTION__, "Infinite-impulse response type spreading"), decays(0.75){
110 this->parameters.link("decay", decays.tuple()); //.fillArray = true;
111 // this->parameters.link("decayHorz", decayHorz = conf.decayHorz);
112 // this->parameters.link("decayVert", decayVert = conf.decayHorz);
113 };
114
115 Decay4<double> decays;
116 //double decay;
117 //std::vector<double> decays;
118 //double decayHorz;
119 //double decayVert;
120
121};
122
123
125
140class ImpulseAvg : public ImpulseBucket<ImpulseAvgConf> {
141
142public:
143
144
145 inline
146 ImpulseAvg(){
147
148 };
149
150 inline
151 ImpulseAvg(const ImpulseAvg & avg){
152 decays = avg.decays;
153 }
154
155 inline
156 ImpulseAvg(const ImpulseAvgConf & conf){
157 decays = conf.decays;
158 }
159
160 virtual
161 void init(const Channel & src, bool horizontal);
162
163 virtual
164 void reset();
165
167 virtual
168 void addLeft(int i, double value, double weight);
169
171 virtual
172 void addRight(int i, double value, double weight);
173
175 virtual
176 void addDown(int i, double value, double weight);
177
179 virtual
180 void addUp(int i, double value, double weight);
181
182
183 virtual
184 double get(int i);
185
186 virtual
187 double getWeight(int i);
188
189
190protected:
191
192private:
193
194 drain::ValueScaling scaling;
195
197 struct entry {
198
199 double x;
200 double weight;
201
202 inline void set(double value, double weight){
203 this->x = value;
204 this->weight = weight;
205 }
206
207 };
208
209 /*
210 * \param xNew - value to be added
211 * \param wNew - weight of xNew
212 */
213 inline
214 void mix(entry & prev, const entry & e, double decay){
215
216 double w1 = decay*e.weight;
217 double w2 = (1.0-decay);
218
219 if (decay < 1.0)
220 prev.x =(w1*e.x + w2*prev.x) / (w1 + w2);
221 else // decay==1.0
222 prev.x = e.x;
223
224 prev.weight = w1 + w2*prev.weight;
225
226 }
227
228 typedef std::pair<entry,entry> entryPair;
229 typedef std::vector<entryPair> container;
230
231 container data;
232
233 entry e;
234 entryPair latest; // utility
235
236
237};
238
239
240
241} // image::
242
243} // drain::
244
245
246#endif /* ImpulseResponse_H_ */
Something which has a name, a description and possibly some parameters of varying type.
Definition BeanLike.h:60
void fill(T i)
Set all the elements to i.
Definition TupleBase.h:315
Tuple of N elements of type T.
Definition UniTuple.h:65
Linear scaling and physical range for image intensities.
Definition ValueScaling.h:64
Image with static geometry.
Definition ImageChannel.h:60
Definition ImpulseAvgOp.h:52
Averaging operator. A simple example implementation of ImpulseBucket.
Definition ImpulseAvgOp.h:140
virtual void addUp(int i, double value, double weight)
Accumulate encoded value.
Definition ImpulseAvgOp.cpp:91
virtual void init(const Channel &src, bool horizontal)
Adapt to input geometry, type, and scaling.
Definition ImpulseAvgOp.cpp:46
virtual double getWeight(int i)
Return weight at position i.
Definition ImpulseAvgOp.cpp:98
virtual void addRight(int i, double value, double weight)
Accumulate encoded value.
Definition ImpulseAvgOp.cpp:79
virtual double get(int i)
Return natural (not encoded) value at position i.
Definition ImpulseAvgOp.cpp:103
virtual void addLeft(int i, double value, double weight)
Accumulate encoded value.
Definition ImpulseAvgOp.cpp:73
virtual void addDown(int i, double value, double weight)
Accumulate encoded value.
Definition ImpulseAvgOp.cpp:85
virtual void reset()
Clear statistics before traversing each row or column.
Definition ImpulseAvgOp.cpp:60
Definition ImpulseResponseOp.h:54
Definition DataSelector.cpp:1277
Definition ImpulseAvgOp.h:70
Definition ImpulseAvgOp.h:95