| Type de publication : |
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Communications avec actes |
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| Domaine : |
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Informatique/Traitement des images
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| Titre : |
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Fast pseudo-semantic segmentation for joint region-based hierarchical and multiresolution representation |
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| Auteur(s) : |
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Rafik Sekkal 1, Clément Strauss 1, François Pasteau 1, Marie Babel ( ) 2, Olivier Déforges 1 |
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| Laboratoire : |
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| Équipe de recherche : |
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Lagadic |
| Résumé : |
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In this paper, we present a new scalable segmentation algorithm called JHMS (Joint Hierarchical and Multiresolution Segmentation) that is characterized by region-based hierarchy and resolution scalability. Most of the proposed algorithms either apply a multiresolution segmentation or a hierarchical segmentation. The proposed approach combines both multiresolution and hierarchical segmentation processes. Indeed, the image is considered as a set of images at different levels of resolution, where at each level a hierarchical segmentation is performed. Multiresolution implies that a segmentation of a given level is reused in further segmentation processes operated at next levels so that to insure contour consistency between different resolutions. Each level of resolution provides a Region Adjacency Graph (RAG) that describes the neighborhood relationships between regions within a given level of the multiresolution representation. Region label consistency is preserved thanks to a dedicated projection algorithm based on inter-level relationships. Moreover, a preprocess based on a quadtree partitioning reduces the amount of input data thus leading to a lower overall complexity of the segmentation framework. Experiments show that we obtain effective results when compared to the state of the art together with a lower complexity. |
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Langue du texte
intégral : |
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Anglais |
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| Titre de l'ouvrage : |
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Proc. of SPIE Electronic Imaging - Visual Communications and Image Processing |
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| Audience : |
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internationale |
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| Date de publication : |
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01/2012 |
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| Page, identifiant, ... : |
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1-6 |
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| Titre de la conférence : |
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SPIE Electronic Imaging - Visual Communications and Image Processing |
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| Date de la conférence : |
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01/2012 |
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| Ville : |
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San Francisco |
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| Pays : |
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États-Unis |
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