Shape ultimate attribute opening

Abstract : The ultimate opening (UO) is a powerful segmentation operator recently introduced by Beucher [1]. It automatically selects the most contrasted regions of an image. However, in the presence of nested structures (e.g. text in a signboard or windows in a contrasted facade), interesting structures may be masked by the containing region. In this paper we focus on ultimate attribute openings and we propose a method that improves the results by favoring regions with a predefined shape via a similarity function. An efficient implementation using a max-tree representation of the image is proposed. The method is validated in the framework of three applications: facade analysis, scene-text detection and cell segmentation. Experimental results show that the proposed method yields better segmentation results than UO.
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Image and Vision Computing, Elsevier, 2011, 29 (8), pp.533-545. 〈10.1016/j.imavis.2011.05.001〉
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00658966
Contributeur : Bibliothèque Mines Paristech <>
Soumis le : mercredi 11 janvier 2012 - 16:33:44
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02

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Beatriz Marcotegui, Jorge Hernandez. Shape ultimate attribute opening. Image and Vision Computing, Elsevier, 2011, 29 (8), pp.533-545. 〈10.1016/j.imavis.2011.05.001〉. 〈hal-00658966〉

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