102 lines
2.6 KiB
C
102 lines
2.6 KiB
C
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/*
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----
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This file is part of SECONDO.
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Copyright (C) 2004, University in Hagen, Department of Computer Science,
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Database Systems for New Applications.
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SECONDO is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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SECONDO is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with SECONDO; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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----
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//[_] [\_]
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//characters [1] verbatim: [$] [$]
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//characters [2] formula: [$] [$]
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//characters [3] capital: [\textsc{] [}]
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//characters [4] teletype: [\texttt{] [}]
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1 Declaration file for functions used by EMD and SQFD
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June 2017, Michael Loris
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*/
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#include "../ImageSimilarity/JPEGImage.h"
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#include <math.h>
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#include <vector>
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#include <iostream>
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#include <cmath>
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double euclidDistance(FeatureSignatureTuple ist1,
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FeatureSignatureTuple ist2)
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{
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double tmpRes = 0.0;
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tmpRes += std::pow(ist1.centroid.x - ist2.centroid.x, 2);
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tmpRes += std::pow(ist1.centroid.y - ist2.centroid.y, 2);
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tmpRes += std::pow(ist1.centroid.colorValue1
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- ist2.centroid.colorValue1, 2);
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tmpRes += std::pow(ist1.centroid.colorValue2
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- ist2.centroid.colorValue2, 2);
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tmpRes += std::pow(ist1.centroid.colorValue3
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- ist2.centroid.colorValue3, 2);
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tmpRes += std::pow(ist1.centroid.coarseness
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- ist2.centroid.coarseness, 2);
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tmpRes += std::pow(ist1.centroid.contrast
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- ist2.centroid.contrast, 2);
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return std::sqrt(tmpRes);
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}
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// Alternatively, the negative function can be used as similarity
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// function
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//double f_negative(FeatureSignatureTuple fst1,
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// FeatureSignatureTuple fst2)
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//{
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// double dist = euclidDist(fst1, fst2);
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// return -dist;
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//}
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// heuristic similarity function
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double f_s(FeatureSignatureTuple fst1,
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FeatureSignatureTuple fst2)
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{
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const double alpha = 2.0;
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double eucDist = euclidDistance(fst1, fst2);
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double res = 1.0 / (alpha + eucDist);
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return res;
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}
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// structure to express flows used in EMD
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struct Flow
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{
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double fromWeight;
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double distance;
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double toWeight;
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};
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