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hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorGIRAUD, Rémi
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorTA, Vinh-Thong
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPAPADAKIS, Nicolas
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBERTHOUMIEU, Yannick
dc.contributor.editorIEEE
dc.date.accessioned2024-04-04T03:00:23Z
dc.date.available2024-04-04T03:00:23Z
dc.date.issued2019-08-23
dc.date.conference2019-09-28
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192813
dc.description.abstractEnMost superpixel algorithms compute a trade-off between spatial and color features at the pixel level. Hence, they may need fine parameter tuning to balance the two measures, and highly fail to group pixels with similar local texture properties. In this paper, we address these issues with a new Texture-Aware SuperPixel (TASP) method. To accurately segment textured and smooth areas, TASP automatically adjusts its spatial constraint according to the local feature variance. Then, to ensure texture homogeneity within superpixels, a new pixel to superpixel patch-based distance is proposed. TASP outperforms the segmentation accuracy of the state-of-the-art methods on texture and also natural color image datasets.
dc.language.isoen
dc.title.enTexture-Aware Superpixel Segmentation
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.description.sponsorshipEuropeNonlocal Methods for Arbitrary Data Sources
bordeaux.page1465-1469
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleIEEE International Conference on Image Processing (ICIP'19)
bordeaux.countryTW
bordeaux.conference.cityTaipei
bordeaux.peerReviewedoui
hal.identifierhal-01995819
hal.version2
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01995819v2
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019-08-23&rft.spage=1465-1469&rft.epage=1465-1469&rft.au=GIRAUD,%20R%C3%A9mi&TA,%20Vinh-Thong&PAPADAKIS,%20Nicolas&BERTHOUMIEU,%20Yannick&rft.genre=unknown


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