Affiliation:
1. Ecole Nationale Supérieure des Télécommunications – Dpt TSI – CNRS URA 820 46 rue Barrault, 75634 Paris Cedex 13, France
Abstract
In order to cope with the ambiguity of spatial relative position concepts, we propose a new definition of the relative position between two objects in a fuzzy set framework. This definition is based on a morphological and fuzzy pattern matching approach, and consists in comparing an object to a fuzzy landscape representing the degree of satisfaction of a directional relationship to a reference object. We detail its formal properties, and show that it is flexible and fits the intuition. Moreover, it applies also in 3D, and for fuzzy objects issued from images. It can be used for structural pattern recognition in images under imprecision.
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Software
Cited by
17 articles.
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