Segmentation of Discrete Curves into Fuzzy Segments
Identifieur interne : 007B84 ( Main/Exploration ); précédent : 007B83; suivant : 007B85Segmentation of Discrete Curves into Fuzzy Segments
Auteurs : Isabelle Debled-Rennesson [France] ; Jean-Luc Rémy [France] ; Jocelyne Rouyer-Degli [France]Source :
Abstract
A new concept, fuzzy segments, is introduced which allows for flexible segmentation of discrete curves, so taking into account some noise in them. Relying on an arithmetic approach of discrete lines, it generalizes them, admitting that some points are missing. Thus, a larger class of objects is considered. A very efficient detection algorithm for fuzzy segments and its application to curve segmentation are presented.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
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- to stream Hal, to step Curation: 006B84
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- to stream Main, to step Merge: 008004
- to stream Main, to step Curation: 007B84
Le document en format XML
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type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Rouyer Degli, Jocelyne" sort="Rouyer Degli, Jocelyne" uniqKey="Rouyer Degli J" first="Jocelyne" last="Rouyer-Degli">Jocelyne Rouyer-Degli</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-2345" status="OLD"><idno type="RNSR">200221405M</idno><orgName>Applying discrete algorithms to genomics</orgName><orgName type="acronym">ADAGE</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/adage</ref></desc><listRelation><relation active="#struct-160" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-300291" type="indirect"></relation><relation active="#struct-300292" type="indirect"></relation><relation active="#struct-300293" type="indirect"></relation><relation active="#struct-2496" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-160" type="direct"><org type="laboratory" xml:id="struct-160" status="OLD"><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country 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status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="it"><term>discrete line</term><term>fuzzy segment</term><term>noisy curve</term><term>segmentation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A new concept, fuzzy segments, is introduced which allows for flexible segmentation of discrete curves, so taking into account some noise in them. Relying on an arithmetic approach of discrete lines, it generalizes them, admitting that some points are missing. Thus, a larger class of objects is considered. A very efficient detection algorithm for fuzzy segments and its application to curve segmentation are presented.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Debled Rennesson, Isabelle" sort="Debled Rennesson, Isabelle" uniqKey="Debled Rennesson I" first="Isabelle" last="Debled-Rennesson">Isabelle Debled-Rennesson</name></region><name sortKey="Remy, Jean Luc" sort="Remy, Jean Luc" uniqKey="Remy J" first="Jean-Luc" last="Rémy">Jean-Luc Rémy</name><name sortKey="Rouyer Degli, Jocelyne" sort="Rouyer Degli, Jocelyne" uniqKey="Rouyer Degli J" first="Jocelyne" last="Rouyer-Degli">Jocelyne Rouyer-Degli</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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