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dc.contributor.authorLaalmi Houria et Bassou Oumessad-
dc.date.accessioned2014-09-23T11:56:31Z-
dc.date.available2014-09-23T11:56:31Z-
dc.date.issued2014-09-23-
dc.identifier.issnh-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/5241-
dc.description.abstractRésumé La classification est un problème qui est toujours ouverte pour la conception et l’implémentation des méthodes appliquées sur déférentes types des paramètres, l’objectif est d’avoir des résultats plus performants. Dans ce cadre notre travail de classification des feuilles des plantes se base sur l’analyse globale afin d’utiliser les moments invariants de Hu comme entrées à une méthode de classification basée sur l’apprentissage non supervisé qui est K-means. Abstract Classification is a problem which is always open for the design and the implementation of the methods applied to deferent types of the parameters, the objective is to have more powerful results. Within this context our work of classification of the sheets of the plants is based on the full analysis in order to use the moments invariants of Hu as entered to a method of classification based on the training not supervised which is K-means.en_US
dc.description.sponsorshipBekkari Fouaden_US
dc.language.isofren_US
dc.relation.ispartofseries2014;-
dc.subjectanalyse globale, moments de Hu, apprentissage non supervisé,classification, full analyses, Hus moments, not supervised training, K-means.en_US
dc.subjectmoments de Huen_US
dc.subjectapprentissage non superviséen_US
dc.subjectclassificationen_US
dc.subjectHus momentsen_US
dc.subjectnot supervised trainingen_US
dc.subjectK-meansen_US
dc.subject.otherfull analysesen_US
dc.titleClassification Des Feuilles de Plantes à Base de Moment de Huen_US
dc.typeThesisen_US
Appears in Collections:Département d'informatique et technologie de l'information - Master

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