Spatio-temporal quasi-flat zones for morphological video segmentation

Authors:
Jonathan Weber;Sébastien Lefèvre;Pierre Gančarski
Affiliations:
University of Strasbourg - LSIIT;University of South Brittany - Valoria;University of Strasbourg - LSIIT
Venue:
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Year:
2011

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Abstract

In order to face the various needs of users, user-driven segmentation 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.