Advertisement

A brain-like approach to multistage hierarchical image processing

  • Leonid I. Timchenko
  • Yuri F. Kutaev
  • Maxim A. Grudin
  • Serge V. Chepornyuk
  • David M. Harvey
  • Alexander A. Gertsiy
Poster Session C: Compression, Hardware & Software, Image Databases, Neural Network, Object Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

Multistage integration of visual information in the brain allows people to respond quickly to most significant stimuli while preserving the ability to recognize small details in the image. Implementation of this principle in technical systems can lead to more efficient processing procedures. The multistage approach to image processing, described in this paper, comprises both main types of cortical multistage convergence. One of these types occurs within each visual pathway and the other between the pathways This approach maps input images into a flexible hierarchy which reflects the complexity of the image data. The multistage system highlights spatial regularities, which are passed through a number of transformational levels to generate a coded representation of the image which encapsulates, in a computer manner, structure on different hierarchical levels in the image. At each processing stage a single output result is computed to allow a very quick response from the system. The result is represented as an activity pattern, which can be compared with previously computed patterns on the basis of the closest match.

Keywords

Temporal Decomposition Hierarchical Level Processing Level Multistage Processing Parallel Channel 
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.

References

  1. 1.
    Zeki, S. A Vision of the Brain. Blackwell Scientific Publications, Oxford, 1993.Google Scholar
  2. 2.
    Blum, F. E., Lazerson, A., and Hofstadter, L. Brain, Mind and Behavior. W. H. Freeman and Co., New York, 1985.Google Scholar
  3. 3.
    Nicoll, R. A., Kauer, J. A., and Malenka, R. C. The Current Excitement in LongTerm Potentiation. Neuron 1(2), pp. 97–103, 1988.CrossRefPubMedGoogle Scholar
  4. 4.
    Crick, F. and Koch, C. Towards Neurobiological Theory of Consciousness. Seminars in the Neurosciences 2, pp. 263–275, 1990.Google Scholar
  5. 5.
    Sherrington, G. E. The Integrative Action of the Nervous System. Yale University Press, New Haven, Conn., 1961.Google Scholar
  6. 6.
    Kandel, R. and Hawkins, R. The Biological Basis of Learning and Individuality. Scientific American 67(3), pp.53–60, 1992.Google Scholar
  7. 7.
    Livingstone M. S. and Hubel, D. H., Anatomy in the Primate Visual Cortex. J. Neurosci. 4, pp. 309–356, 1984.PubMedGoogle Scholar
  8. 8.
    Rock, I. and Palmer, S. The Legacy of Gestalt Psychology. Scientific American 263(6), pp. 48–61, 1990.Google Scholar
  9. 9.
    Churchland, P. and Sejnowski, T. J. The Computational Brain. The MIT Press/Bradford Books, 1992.Google Scholar
  10. 10.
    Kuffler, S. W., Nicholls, J. G., and Martin, A. R. From Neuron to Brain. Sinauer Associates, Sunderland, Mass., 1984.Google Scholar
  11. 11.
    Hubel, D. H. Eye, Brain and Vision. Scientific American Library, New York. 1988.Google Scholar
  12. 12.
    Kytaev, Y.F. Systems for Correlational-Extremal Co-ordinates Measuring with Generalised Q-transforming of Images. Ph.D.Dissertation. Vinnitsa Tech Univ., Ukraine, 1989, (in Russian).Google Scholar
  13. 13.
    Timchenko, L. I., Grudin, M. A., Gel, V. P., Harvey, D. M. “A Multistage Hierarchical Approach to Image Processing,”, Proc. of IEE Colloquium on Mulitdimensional Systems, pp. 2.1–2.6, January 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Leonid I. Timchenko
    • 1
  • Yuri F. Kutaev
    • 2
  • Maxim A. Grudin
    • 3
  • Serge V. Chepornyuk
    • 1
  • David M. Harvey
    • 3
  • Alexander A. Gertsiy
    • 1
  1. 1.Department of Optoelectronic DevicesVinnitsa State Technical Univ.Ukraine
  2. 2.State Scientific Enterprise “ASTROPHISICA”MoscowRussia
  3. 3.School of Electrical Eng, Electronics and PhysicsLiverpool John Moores Univ.UK

Personalised recommendations