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Proceedings Paper

Fuzzy neural network for the analysis of partially occluded objects
Author(s): Zhiling Wang; I. Barraco; M. Rovazzotti; F. Ravera; S. DeSanctis
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Paper Abstract

Based on curvature representation, a fuzzy Kohonen self-organizing feature mapping is combined with the fuzzy delta rule to recognize partially occluded objects. Because of learning and tolerant performance as well as fuzzy membership function, the fuzzy hybrid neural networks can recognize the objects with higher precision.

Paper Details

Date Published: 28 March 1995
PDF: 12 pages
Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); doi: 10.1117/12.205258
Show Author Affiliations
Zhiling Wang, Alenia Spazio SpA and Italian Space Agency (Italy)
I. Barraco, Alenia Spazio SpA (Italy)
M. Rovazzotti, Alenia Spazio SpA (Italy)
F. Ravera, Alenia Spazio SpA (Italy)
S. DeSanctis, Alenia Spazio SpA (Italy)


Published in SPIE Proceedings Vol. 2424:
Nonlinear Image Processing VI
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham; Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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