A functional simplification of the BCS/FCS image segmentation

Authors:
Pablo Martínez;Miguel Pinzolas;Juan López Coronado;Daniel García
Affiliations:
Dpto. Ingeniería de Sistemas y Automática, Universidad Politécnica de Cartagena, Cartagena (Murcia), Spain;Dpto. Ingeniería de Sistemas y Automática, Universidad Politécnica de Cartagena, Cartagena (Murcia), Spain;Dpto. Ingeniería de Sistemas y Automática, Universidad Politécnica de Cartagena, Cartagena (Murcia), Spain;Dpto. Ingeniería de Sistemas y Automática, Universidad Politécnica de Cartagena, Cartagena (Murcia), Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Year:
2005

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Abstract

In this paper, a functional simplification of the BCS/FCS neurobiological model for image segmentation is presented. The inherent complexity of the BCS/FCS system is mainly due to the close modelling of the cortical mechanisms and to the high number of parameters involved. For functional applications, the proposed simplification retains both the biological concepts of the BCS/FCS and its performance, while greatly reducing the number of parameters and the execution time.