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
|
package de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2012
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import java.util.List;
import de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedDistanceFunction;
import de.lmu.ifi.dbs.elki.math.MathUtil;
import de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix;
import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GreaterEqualConstraint;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListEachConstraint;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter;
/**
* Distance function for HSB color histograms based on a quadratic form and
* color similarity.
*
* The matrix is filled according to:
* <p>
* VisualSEEk: a fully automated content-based image query system<br />
* Smith, J.R. and Chang, S.F.<br />
* Proceedings of the fourth ACM international conference on Multimedia 1997
* </p>
*
* @author Erich Schubert
*/
@Reference(authors = "J. R. Smith, S. F. Chang", title = "VisualSEEk: a fully automated content-based image query system", booktitle = "Proceedings of the fourth ACM international conference on Multimedia 1997", url = "http://dx.doi.org/10.1145/244130.244151")
public class HSBHistogramQuadraticDistanceFunction extends WeightedDistanceFunction {
/**
* Parameter for the kernel dimensionality.
*/
public static final OptionID BPP_ID = new OptionID("hsbhist.bpp", "The dimensionality of the histogram in hue, saturation and brightness.");
/**
* Constructor.
*
* @param quanth Hue bins
* @param quants Saturation bins
* @param quantb Brightness bins
*/
public HSBHistogramQuadraticDistanceFunction(int quanth, int quants, int quantb) {
super(computeWeightMatrix(quanth, quants, quantb));
}
/**
* Compute the weight matrix for HSB similarity.
*
* @param quanth H bins
* @param quants S bins
* @param quantb B bins
* @return Weight matrix
*/
public static Matrix computeWeightMatrix(final int quanth, final int quants, final int quantb) {
final int dim = quanth * quants * quantb;
assert (dim > 0);
final Matrix m = new Matrix(dim, dim);
for(int x = 0; x < dim; x++) {
final int hx = x / (quantb * quants);
final int sx = (x / quantb) % quants;
final int bx = x % quantb;
for(int y = 0; y < dim; y++) {
final int hy = y / (quantb * quants);
final int sy = (y / quantb) % quants;
final int by = y % quantb;
final double cos = Math.cos((hx + .5) / quanth * MathUtil.TWOPI) * (sx + .5) / quants - Math.cos((hy + .5) / quanth * MathUtil.TWOPI) * (sy + .5) / quants;
final double sin = Math.sin((hx + .5) / quanth * MathUtil.TWOPI) * (sx + .5) / quants - Math.sin((hy + .5) / quanth * MathUtil.TWOPI) * (sy + .5) / quants;
final double db = (bx - by) / (double) quantb;
final double val = 1. - Math.sqrt((db * db + sin * sin + cos * cos) / 5);
m.set(x, y, val);
}
}
return m;
}
@Override
public boolean equals(Object obj) {
if(this == obj) {
return true;
}
if(obj == null) {
return false;
}
if (!this.getClass().equals(obj.getClass())) {
return false;
}
return this.weightMatrix.equals(((HSBHistogramQuadraticDistanceFunction)obj).weightMatrix);
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractParameterizer {
int quanth = 0;
int quants = 0;
int quantb = 0;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
IntListParameter param = new IntListParameter(BPP_ID);
param.addConstraint(new ListSizeConstraint(3));
param.addConstraint(new ListEachConstraint<Integer>(new GreaterEqualConstraint(1)));
if(config.grab(param)) {
List<Integer> quant = param.getValue();
assert (quant.size() == 3);
quanth = quant.get(0);
quants = quant.get(1);
quantb = quant.get(2);
}
}
@Override
protected HSBHistogramQuadraticDistanceFunction makeInstance() {
return new HSBHistogramQuadraticDistanceFunction(quanth, quants, quantb);
}
}
}
|
