Programmation linéaire en nombres entiers pour la recherche d'isomorphisme de sous-graphe : Application à la recherche de symboles graphiques
Identifieur interne : 002D87 ( Main/Exploration ); précédent : 002D86; suivant : 002D88Programmation linéaire en nombres entiers pour la recherche d'isomorphisme de sous-graphe : Application à la recherche de symboles graphiques
Auteurs : Pierre Le Bodic [France] ; Pierre Héroux [France] ; Sébastien Adam [France] ; Hervé Locteau [France] ; Jean Noel Bilong Mboumba [France] ; Yves Lecourtier [France]Source :
Descripteurs français
- mix :
Abstract
Cet article propose une approche basée sur la programmation linéaire en nombres entiers pour la recherche d'isomorphisme de sous-graphes. L'originalité de l'approche réside dans la prise en compte d'un étiquetage du graphe par des vecteurs numériques pour lesquels les méthodes traditionnelles sont inopérantes. Cette approche est appliquée à la localisation de symboles dans des documents graphiques décrits par graphes d'adjacence de régions étiquetés par descripteurs de formes et des caractéristiques exprimant des relations géométriques. La globalité de l'approche est évaluée sur une base de documents synthétiques. Les résultats obtenus sont prometteurs.
Url:
Affiliations:
- France
- Grand Est, Haute-Normandie, Lorraine (région), Région Normandie
- Le Havre, Nancy, Rouen
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine, Université de Rouen, Université du Havre
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 006349
- to stream Hal, to step Curation: 006349
- to stream Hal, to step Checkpoint: 002652
- to stream Main, to step Merge: 002E54
- to stream Main, to step Curation: 002D87
Le document en format XML
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76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="indirect"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>Détection de symboles</term><term>Isomorphisme de sous-graphes</term><term>Programmation linéaire en nombres entiers</term><term>Symbol spotting</term><term>integer linear programming</term><term>subgraph isomorphism</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Cet article propose une approche basée sur la programmation linéaire en nombres entiers pour la recherche d'isomorphisme de sous-graphes. L'originalité de l'approche réside dans la prise en compte d'un étiquetage du graphe par des vecteurs numériques pour lesquels les méthodes traditionnelles sont inopérantes. Cette approche est appliquée à la localisation de symboles dans des documents graphiques décrits par graphes d'adjacence de régions étiquetés par descripteurs de formes et des caractéristiques exprimant des relations géométriques. La globalité de l'approche est évaluée sur une base de documents synthétiques. Les résultats obtenus sont prometteurs.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Haute-Normandie</li><li>Lorraine (région)</li><li>Région Normandie</li></region><settlement><li>Le Havre</li><li>Nancy</li><li>Rouen</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li><li>Université de Rouen</li><li>Université du Havre</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Le Bodic, Pierre" sort="Le Bodic, Pierre" uniqKey="Le Bodic P" first="Pierre" last="Le Bodic">Pierre Le Bodic</name></noRegion><name sortKey="Adam, Sebastien" sort="Adam, Sebastien" uniqKey="Adam S" first="Sébastien" last="Adam">Sébastien Adam</name><name sortKey="Bilong Mboumba, Jean Noel" sort="Bilong Mboumba, Jean Noel" uniqKey="Bilong Mboumba J" first="Jean Noel" last="Bilong Mboumba">Jean Noel Bilong Mboumba</name><name sortKey="Heroux, Pierre" sort="Heroux, Pierre" uniqKey="Heroux P" first="Pierre" last="Héroux">Pierre Héroux</name><name sortKey="Lecourtier, Yves" sort="Lecourtier, Yves" uniqKey="Lecourtier Y" first="Yves" last="Lecourtier">Yves Lecourtier</name><name sortKey="Locteau, Herve" sort="Locteau, Herve" uniqKey="Locteau H" first="Hervé" last="Locteau">Hervé Locteau</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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