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
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.
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Kani, B and Wilson, M.J.D. [1987] "Adaptive Windows for Texture Discrimination." Proc. of the third Alvey vision conf., Cambridge. p 251–257.
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© 1988 Springer-Verlag Berlin Heidelberg
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Kani, B., Wilson, M.J.D. (1988). Decision feedback in adaptive networks. In: Kittler, J. (eds) Pattern Recognition. PAR 1988. Lecture Notes in Computer Science, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19036-8_7
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DOI: https://doi.org/10.1007/3-540-19036-8_7
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Print ISBN: 978-3-540-19036-3
Online ISBN: 978-3-540-38947-7
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