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.
This work has been supported in part by the Spanish Ministerio de Ciencia y Tecnología, under grant VICTOR: TIC2000-0406-P4-05.
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© 2005 Springer-Verlag Berlin Heidelberg
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Martínez, P., Pinzolas, M., López Coronado, J., García, D. (2005). A Functional Simplification of the BCS/FCS Image Segmentation. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_14
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DOI: https://doi.org/10.1007/11492429_14
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