Conference Papers Year : 2011

Spatio-temporal quasi-flat zones for morphological video segmentation

Abstract

In order to face the various needs of users, user-driven seg-mentation methods are expected to provide more relevant results than fully automatic approaches. Within Mathematical Morphology, several user-driven approaches have been proposed, mostly relying on the watershed transform. Nevertheless, Soille (IEEE TPAMI, 2008) has recently suggested another solution by gathering puzzle pieces computed as Quasi-Flat Zones (QFZ) of an image. In this paper, we study more deeply this user-driven segmentation scheme in the context of video data. Thus we also introduce the concept of Spatio-Temporal QFZ and propose several methods for extracting such zones from a video sequence.

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hal-00663807 , version 1 (13-11-2019)

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  • HAL Id : hal-00663807 , version 1

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Jonathan Weber, Sébastien Lefèvre, Pierre Gancarski. Spatio-temporal quasi-flat zones for morphological video segmentation. International Symposium on Mathematical Morphology (ISMM), 2011, Intra, Italy. pp.178-189. ⟨hal-00663807⟩
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