Évaluation de la robustesse des descripteurs de texture pour la segmentation d'images de documents anciens
Identifieur interne : 000266 ( France/Analysis ); précédent : 000265; suivant : 000267Évaluation de la robustesse des descripteurs de texture pour la segmentation d'images de documents anciens
Auteurs : Maroua Mehri [France] ; Van Cuong Kieu [France] ; Mohamed Mhiri [Tunisie] ; Pierre Héroux [France] ; Petra Gomez-Kr Mer [France] ; Mohamed Ali Mahjoub [Tunisie] ; Rémy Mullot [France]Source :
Descripteurs français
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Abstract
Dans la littérature, le choix d'utiliser des descripteurs de texture pour guider la segmentation d'images de documents anciens soumises à des dégradations importantes et variées s'est déjà révélé pertinent. Par ailleurs, il a également été démontré que l'usage de tels descripteurs permet de se dispenser de connaissances préalables sur le modèle du document ou des paramètres typographiques. Nous proposons de rechercher des régions homogènes du point de vue des descripteurs de texture en se basant sur une analyse multi-résolution pour guider la segmentation d'images de documents. Les résultats préliminaires montrent l'efficacité des descripteurs de texture extraits de la fonction d'auto-corrélation, de la matrice de co-occurrence des niveaux de gris et des filtres de Gabor. Afin d'évaluer la robustesse de ces descripteurs, nous évaluons l'influence de différents modèles de dégradation et de prétraitements visant l'amélioration de la qualité d'image (filtrage par moyennes non-locales et technique de superpixels) au travers de plusieurs mesures de performances. Cette étude montre la robustesse des descripteurs de texture pour la segmentation en présence de bruit, rendant inutile les prétraitements de débruitage.
Url:
Affiliations:
- France, Tunisie
- Haute-Normandie, Poitou-Charentes, Région Normandie
- La Rochelle, Le Havre, Rouen
- Université de La Rochelle, Université de Rouen, Université du Havre
Links toward previous steps (curation, corpus...)
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- to stream Hal, to step Curation: 000814
- to stream Hal, to step Checkpoint: 000154
- to stream Main, to step Merge: 000279
- to stream Main, to step Curation: 000278
- to stream Main, to step Exploration: 000278
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Hal:hal-00965160Le document en format XML
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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><author><name sortKey="Gomez Kr Mer, Petra" sort="Gomez Kr Mer, Petra" uniqKey="Gomez Kr Mer P" first="Petra" last="Gomez-Kr Mer">Petra Gomez-Kr Mer</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName><orgName type="acronym">L3I</orgName><desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lr.fr/l3i</ref></desc><listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation></listRelation><tutelles><tutelle name="EA2118" active="#struct-300311" type="direct"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">La Rochelle</settlement><region type="region" nuts="2">Poitou-Charentes</region></placeName><orgName type="university">Université de La Rochelle</orgName></affiliation></author><author><name sortKey="Mahjoub, Mohamed Ali" sort="Mahjoub, Mohamed Ali" uniqKey="Mahjoub M" first="Mohamed Ali" last="Mahjoub">Mohamed Ali Mahjoub</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-249387" status="INCOMING"><orgName>Systèmes Avancés en Génie Électrique</orgName><orgName type="acronym">SAGE</orgName><desc><address><addrLine>Ecole Nationale d'Ingénieurs de Sousse, BP 264 Sousse Erriadh 4023 Université de Sousse, Tunisie</addrLine><country key="TN"></country></address><ref type="url">http://www.sage-eniso.org/</ref></desc><listRelation><relation active="#struct-301055" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-301055" type="direct"><org type="institution" xml:id="struct-301055" status="VALID"><orgName>Université de Sousse</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>Tunisie</country></affiliation></author><author><name sortKey="Mullot, Remy" sort="Mullot, Remy" uniqKey="Mullot R" first="Rémy" last="Mullot">Rémy Mullot</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName><orgName type="acronym">L3I</orgName><desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lr.fr/l3i</ref></desc><listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation></listRelation><tutelles><tutelle name="EA2118" active="#struct-300311" type="direct"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">La Rochelle</settlement><region type="region" nuts="2">Poitou-Charentes</region></placeName><orgName type="university">Université de La Rochelle</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>Images numériques de documents anciens</term><term>débruitage</term><term>modèles de dégradation</term><term>moyennes non-locales</term><term>multi-résolution</term><term>superpixels</term><term>texture</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Dans la littérature, le choix d'utiliser des descripteurs de texture pour guider la segmentation d'images de documents anciens soumises à des dégradations importantes et variées s'est déjà révélé pertinent. Par ailleurs, il a également été démontré que l'usage de tels descripteurs permet de se dispenser de connaissances préalables sur le modèle du document ou des paramètres typographiques. Nous proposons de rechercher des régions homogènes du point de vue des descripteurs de texture en se basant sur une analyse multi-résolution pour guider la segmentation d'images de documents. Les résultats préliminaires montrent l'efficacité des descripteurs de texture extraits de la fonction d'auto-corrélation, de la matrice de co-occurrence des niveaux de gris et des filtres de Gabor. Afin d'évaluer la robustesse de ces descripteurs, nous évaluons l'influence de différents modèles de dégradation et de prétraitements visant l'amélioration de la qualité d'image (filtrage par moyennes non-locales et technique de superpixels) au travers de plusieurs mesures de performances. Cette étude montre la robustesse des descripteurs de texture pour la segmentation en présence de bruit, rendant inutile les prétraitements de débruitage.</div></front></TEI><affiliations><list><country><li>France</li><li>Tunisie</li></country><region><li>Haute-Normandie</li><li>Poitou-Charentes</li><li>Région Normandie</li></region><settlement><li>La Rochelle</li><li>Le Havre</li><li>Rouen</li></settlement><orgName><li>Université de La Rochelle</li><li>Université de Rouen</li><li>Université du Havre</li></orgName></list><tree><country name="France"><region name="Région Normandie"><name sortKey="Mehri, Maroua" sort="Mehri, Maroua" uniqKey="Mehri M" first="Maroua" last="Mehri">Maroua Mehri</name></region><name sortKey="Gomez Kr Mer, Petra" sort="Gomez Kr Mer, Petra" uniqKey="Gomez Kr Mer P" first="Petra" last="Gomez-Kr Mer">Petra Gomez-Kr Mer</name><name sortKey="Heroux, Pierre" sort="Heroux, Pierre" uniqKey="Heroux P" first="Pierre" last="Héroux">Pierre Héroux</name><name sortKey="Kieu, Van Cuong" sort="Kieu, Van Cuong" uniqKey="Kieu V" first="Van Cuong" last="Kieu">Van Cuong Kieu</name><name sortKey="Mullot, Remy" sort="Mullot, Remy" uniqKey="Mullot R" first="Rémy" last="Mullot">Rémy Mullot</name></country><country name="Tunisie"><noRegion><name sortKey="Mhiri, Mohamed" sort="Mhiri, Mohamed" uniqKey="Mhiri M" first="Mohamed" last="Mhiri">Mohamed Mhiri</name></noRegion><name sortKey="Mahjoub, Mohamed Ali" sort="Mahjoub, Mohamed Ali" uniqKey="Mahjoub M" first="Mohamed Ali" last="Mahjoub">Mohamed Ali Mahjoub</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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