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Soft Computing and Industry pp 411–422Cite as

Pulse Image Processing

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Abstract

The foundations of mammalian visual processing and popular digital image processing algorithms are vastly different. The mammalian system relies on cooperative pulsing activity of neurons to extract segments, textures, edges, and signatures. Popular digital algorithms tend to rely on statistical similarities. The success of the mammalian system justifies the creation of digital simulations and applications. Here a model of the mammalian visual cortex is used to generate several digital applications.

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Author information

Authors and Affiliations

  1. School of Computational Sciences, George Mason University, Manassas, VA, 20110, USA

    Jason M. Kinser

Authors
  1. Jason M. Kinser
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Editor information

Editors and Affiliations

  1. Enterprise Integration, Cranfield University, Cranfield, Bedford, MK43 0AL, UK

    Rajkumar Roy PhD

  2. Department of Pattern Recognition, Fraunhofer IPK-Berlin, Pascalstrasse 8-9, Berlin, 10587, Germany

    Mario Köppen Diplom-Phys

  3. Institute of Intelligent Electronics, Helsinki University of Technology, Otakaari 5 A, FIN-02150, Espoo, Finland

    Seppo Ovaska PhD

  4. Department of Information Engineering, Mie University, 1515 Kamihama-cho, Tsu, 514-8507, Japan

    Takeshi Furuhashi PhD

  5. Royal Institute of Technology, NADA/CV AP, 10044, Stockholm, Sweden

    Frank Hoffmann

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© 2002 Springer-Verlag London

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Kinser, J.M. (2002). Pulse Image Processing. In: Roy, R., Köppen, M., Ovaska, S., Furuhashi, T., Hoffmann, F. (eds) Soft Computing and Industry. Springer, London. https://doi.org/10.1007/978-1-4471-0123-9_36

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  • DOI: https://doi.org/10.1007/978-1-4471-0123-9_36

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1101-6

  • Online ISBN: 978-1-4471-0123-9

  • eBook Packages: Springer Book Archive

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