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Decision feedback in adaptive networks

  • B. Kani
  • Manissa J. Dobree Wilson
Adaptive Learning Networks
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)

Abstract

The application of decision feedback to artificial vision operators known as adaptive windows is considered. The open-loop adaptive window is reviewed and a simple behaviour model evaluated. This simple model is then used to predict the behaviour of an adaptive window with feedback. Requirements for Optimal closed-loop performance are presented.

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References

  1. Aleksander, I. and M.J.D. Wilson [1985], "Adaptive Windows for Image Processing." IEE Proc. E., Comput. & Digital Tech., vol 132 No.5. p 233–245.Google Scholar
  2. Aleksander, I. [1983] "Emergent Intelligent Properties of Progressively Structured Pattern Recognition Nets." Proc. BPRA 2nd Int. Conf. on Patt. Rec. Oxford.Google Scholar
  3. Wilson, M.J.D. [1985] "Adaptive Windows: Edges, Stereopsis and Stripes." BPRA, Third Int. Conf., St Andrews, 1985.Google Scholar
  4. Kani, B and Wilson, M.J.D. [1987] "Adaptive Windows for Texture Discrimination." Proc. of the third Alvey vision conf., Cambridge. p 251–257.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • B. Kani
    • 1
  • Manissa J. Dobree Wilson
    • 1
  1. 1.Department of Electrical and Electronic EngineeringBrunel UniversityUxbridge

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