Advertisement

A Functional Simplification of the BCS/FCS Image Segmentation

  • Pablo Martínez
  • Miguel Pinzolas
  • Juan López Coronado
  • Daniel García
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3522)

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.

Keywords

Image Segmentation Receptive Field Input Image Synthetic Aperture Radar Bipole Cell 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Grossberg, S., Mingolla, E.: Neural Dynamics of Form Perception: Boundary Completion, Illusory Figures, and Neon Color Spreading. Psychological Review 92, 173–211 (1985)CrossRefGoogle Scholar
  2. 2.
    Grossberg, S., Mingolla, E.: Neural Dynamics of Perceptual Groupings: Textures, Boundaries, and Emergent Features. Perception and Psychophysics 38, 141–171 (1985)CrossRefGoogle Scholar
  3. 3.
    Grossberg, S., Mingolla, E.: Neural Dynamics of Surface Perception: Boundary Webs, Illuminants, and Shape-from-Shading. Computer Vision, Graphics, and Image Processing 37, 116–165 (1987)CrossRefGoogle Scholar
  4. 4.
    Grossberg, S., Todorovic: Neural Dynamics of 1-D and 2-D Brightness Perception: A Unified Model of Classical and Recent Phenomena. Perception and Psychophysics 43, 241–277 (1988)CrossRefGoogle Scholar
  5. 5.
    Grossberg, S., Mingolla, E., Williamson, J.: Synthetic Aperture Radar Processing by a Multiple Scale Neural System for Boundary and Surface Representation. Neural Networks. On special issue Automatic Target Recognition (1995)Google Scholar
  6. 6.
    Levine, M.W., Shefner, J.M.: Fundamentals of sensation and perception, 2nd edn. Brooks/Cole, Pacific Grove (1991)Google Scholar
  7. 7.
    Mingolla, E., Ross, W., Grossberg, S.: A Neural Network for Enhancing Boundaries and Surfaces in Synthetic Aperture Radar Images. Neural Networks 12, 499–511 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Pablo Martínez
    • 1
  • Miguel Pinzolas
    • 1
  • Juan López Coronado
    • 1
  • Daniel García
    • 1
  1. 1.Dpto. Ingeniería de Sistemas y AutomáticaUniversidad Politécnica de CartagenaCartagena (Murcia)Spain

Personalised recommendations