Extension des segments flous aux images en niveaux de gris pour l'extraction interactive de segments de droites
Identifieur interne : 002722 ( Hal/Checkpoint ); précédent : 002721; suivant : 002723Extension des segments flous aux images en niveaux de gris pour l'extraction interactive de segments de droites
Auteurs : Philippe Even [France] ; Bertrand Kerautret [France]Source :
Descripteurs français
Abstract
The recognition of discrete straight segments is a significant topic in the field of discrete geometry and for many applications dealing with geometric feature extraction. It can be performed from noisy binary data using the concept of blurred segments [3,2]. However, to our best knowledge, these algorithms have never been defined to directly extract straight segments in gray level images. This article proposes a solution to extend the recognition by using gray level image information. Although initially intended to be implemented within a semi-automatic line selec- tion tool used in an interactive 3D modeling application, it also meets more general parameter extraction requirements.
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It can be performed from noisy binary data using the concept of blurred segments [3,2]. However, to our best knowledge, these algorithms have never been defined to directly extract straight segments in gray level images. This article proposes a solution to extend the recognition by using gray level image information. Although initially intended to be implemented within a semi-automatic line selec- tion tool used in an interactive 3D modeling application, it also meets more general parameter extraction requirements.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Extension des segments flous aux images en niveaux de gris pour l'extraction interactive de segments de droites</title><author role="aut"><persName><forename type="first">Philippe</forename><surname>Even</surname></persName><email>Philippe.Even@loria.fr</email><idno type="halauthor">65658</idno><affiliation ref="#struct-22019"></affiliation></author><author role="aut"><persName><forename type="first">Bertrand</forename><surname>Kerautret</surname></persName><email>kerautre@loria.fr</email><idno type="halauthor">66647</idno><affiliation ref="#struct-22019"></affiliation></author><editor role="depositor"><persName><forename>Bertrand</forename><surname>Kerautret</surname></persName><email>kerautre@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2011-01-02 10:42:45</date><date type="whenModified">2016-05-19 01:05:35</date><date type="whenReleased">2011-01-03 08:29:11</date><date type="whenProduced">2010-01-19</date><date type="whenEndEmbargoed">2011-01-02</date><ref type="file" target="https://hal.inria.fr/inria-00551048/document"><date notBefore="2011-01-02"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/inria-00551048/file/main.pdf"><date notBefore="2011-01-02"></date></ref></edition><respStmt><resp>contributor</resp><name key="104060"><persName><forename>Bertrand</forename><surname>Kerautret</surname></persName><email>kerautre@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00551048</idno><idno type="halUri">https://hal.inria.fr/inria-00551048</idno><idno type="halBibtex">even:inria-00551048</idno><idno type="halRefHtml">17e Congrès Francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle - RFIA 2010, Jan 2010, Caen, France. 2010</idno><idno type="halRef">17e Congrès Francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle - RFIA 2010, Jan 2010, Caen, France. 2010</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="AFIA">Association Française d'Intelligence Artificielle</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-ACGI" p="LORIA">Algorithmique, calcul, image et géométrie</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="3">National</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Extension des segments flous aux images en niveaux de gris pour l'extraction interactive de segments de droites</title><author role="aut"><persName><forename type="first">Philippe</forename><surname>Even</surname></persName><email>Philippe.Even@loria.fr</email><idno type="halAuthorId">65658</idno><affiliation ref="#struct-22019"></affiliation></author><author role="aut"><persName><forename type="first">Bertrand</forename><surname>Kerautret</surname></persName><email>kerautre@loria.fr</email><idno type="halAuthorId">66647</idno><affiliation ref="#struct-22019"></affiliation></author></analytic><monogr><meeting><title>17e Congrès Francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle - RFIA 2010</title><date type="start">2010-01-19</date><date type="end">2010-01-22</date><settlement>Caen</settlement><country key="FR">France</country></meeting><imprint><date type="datePub">2010-01-19</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">Géométrie Discrète</term><term xml:lang="fr">Reconnaissance de droites</term></keywords><classCode scheme="halDomain" n="info.info-gr">Computer Science [cs]/Graphics [cs.GR]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">The recognition of discrete straight segments is a significant topic in the field of discrete geometry and for many applications dealing with geometric feature extraction. It can be performed from noisy binary data using the concept of blurred segments [3,2]. However, to our best knowledge, these algorithms have never been defined to directly extract straight segments in gray level images. This article proposes a solution to extend the recognition by using gray level image information. Although initially intended to be implemented within a semi-automatic line selec- tion tool used in an interactive 3D modeling application, it also meets more general parameter extraction requirements.</abstract><abstract xml:lang="fr">La reconnaissance de segments de droites discrètes est un problème significatif dans le domaine de la géométrie dis- crète et dans beaucoup d'applications d'extraction de pa- ramètres géométriques. L'utilisation du concept des seg- ments flous permet de traiter des images binaires brui- tées [3, 2]. Cependant ces algorithmes n'ont encore ja- mais été définis pour être utilisés directement dans des images en niveaux de gris. Nous proposons ici une solu- tion pour étendre la reconnaissance en utilisant les infor- mations des niveaux de gris d'une image. Bien qu'initia- lement conçu pour un outil semi-automatique de sélection de droites dans une application de modélisation 3d interac- tive, l'approche proposée répond aussi à des besoins plus généraux liés à l'extraction de paramètres.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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|étape= Checkpoint
|type= RBID
|clé= Hal:inria-00551048
|texte= Extension des segments flous aux images en niveaux de gris pour l'extraction interactive de segments de droites
}}
| This area was generated with Dilib version V0.6.33. |  |