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Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators

  • Neural Networks for Perception
  • Conference paper
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Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

In this paper we adopt a temporal coding approach to neuronal modeling of the visual cortex, using oscillations. We propose a hierarchy of three processing modules corresponding to different levels of representation. The first layer encodes the input image (stimulus) into an array of units, while the second layer consists of a network of FitzHugh-Nagumo oscillators. The dynamical behaviour of the coupled oscillators is rigorously investigated and a stimulus-driven synchronization theorem is derived. However, this module reveals itself insufficient to correctly encode and segregate different objects when they have similar gray-levels in the input image. Therefore, a third layer connected in a feedback loop with the oscillators is added. This ensures synchronization (resp. desynchronization) of neuron ensembles representing the same (resp. a different) object. Simulation results are presented using synthetic as well as real and noisy gray-level images.

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Authors and Affiliations

  1. Dept. of Computer Science, University of Geneva, 24, Rue du Général Dufour, 1211, Geneva 4, Switzerland

    Abderrahim Labbi, Ruggero Milanese & Holger Bosch

Authors
  1. Abderrahim Labbi
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  2. Ruggero Milanese
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  3. Holger Bosch
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José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Labbi, A., Milanese, R., Bosch, H. (1997). Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032567

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  • DOI: https://doi.org/10.1007/BFb0032567

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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