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Vectorial Quasi-flat Zones for Color Image Simplification

Erchan Aptoula 1 Jonathan Weber 2 Sébastien Lefèvre 3
2 QGAR - Querying Graphics through Analysis and Recognition
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 OBELIX - Environment observation with complex imagery
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, UBS - Université de Bretagne Sud
Abstract : Quasi-flat zones enable the computation of homogeneous image regions with respect to one or more arbitrary criteria, such as pixel intensity. They are most often employed in simplification and segmentation, while multiple strategies exist for their application to color data as well. In this paper we explore a vector ordering based alternative method for computing color quasi-flat zones, which enables the use of vectorial α and ω parameters. The interest of this vec-torial strategy w.r.t marginal quasi-flat zones is illustrated both qualitatively and quantitatively by means of color simplification and segmentation experiments.
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Erchan Aptoula, Jonathan Weber, Sébastien Lefèvre. Vectorial Quasi-flat Zones for Color Image Simplification. International Symposium on Mathematical Morphology, ISMM 2013, 2013, Uppsala, Sweden. pp.231-242, ⟨10.1007/978-3-642-38294-9_20⟩. ⟨hal-00905178⟩

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