Fuzzy directional enlacement landscapes

Michaël Clément (1) , Camille Kurtz (1) , Laurent Wendling (1)

1 LIPADE - EA 2517 - Laboratoire d'Informatique Paris Descartes

Spatial relations between objects represented in images are of high importance in various application domains related to pattern recognition and computer vision. By definition, most relations are vague, ambiguous and difficult to formalize precisely by humans. The issue of describing complex spatial configurations, where objects can be imbri-cated in each other, is addressed in this article. A novel spatial relation, called enlacement, is presented and designed using a directional fuzzy landscape approach. We propose a generic fuzzy model that allows to visualize and evaluate complex enlacement configurations between crisp objects, with directional granularity. The interest and the behavior of this approach is highlighted on several characteristic examples.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Michaël Clément, Camille Kurtz, Laurent Wendling. Fuzzy directional enlacement landscapes. International Conference on Discrete Geometry for Computer Imagery (DGCI), Sep 2017, Vienna, Austria. pp.171-182, ⟨10.1007/978-3-319-66272-5_15⟩. ⟨hal-02309958⟩