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Article Dans Une Revue Image and Vision Computing Année : 2011

Shape ultimate attribute opening


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.

Dates et versions

hal-00658966 , version 1 (11-01-2012)



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