A fuzzy mathematical morphology approach to multiseeded image segmentation

Authors:
Isabelle Bloch;Gabriele Martino;Alfredo Petrosino
Affiliations:
Dept. TSI – CNRS UMR 5141 LTCI, Ecole Nationale Supérieure des Télécommunications;Department of Applied Science, University of Naples “Parthenope”;Department of Applied Science, University of Naples “Parthenope”
Venue:
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Year:
2005

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Abstract

We propose an innovative segmentation algorithm based on mathematical morphology operators. 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 an affinity relationship. It has good formal properties, it is flexible, it fits the intuition, and it can be used for structural pattern recognition under imprecision. Moreover, it also applies in 3D and for fuzzy objects issued from images.