Application of optoelectronic neural networks to the selection of contour figure features

Victor A. Ivanov; Boris S. Kiselyov; Andrei L. Mikaelian

doi:10.1117/12.262568

27 December 1996 Application of optoelectronic neural networks to the selection of contour figure features

Victor A. Ivanov, Boris S. Kiselyov, Andrei L. Mikaelian

Proceedings Volume 2969, Second International Conference on Optical Information Processing; (1996) https://doi.org/10.1117/12.262568
Event: Second International Conference on Optical Information Processing, 1996, St. Petersburg, Russian Federation

Abstract

Homogeneous optical neural networks are used in the filtration and selection of pattern fragments, such as line intersections, line ends, fractures, etc. The approach proposed allows us to develop simple neural nets with virtually any form of receptive fields. The processing method is suggested in which only those simple features survive that have specific relative positions.

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Victor A. Ivanov, Boris S. Kiselyov, and Andrei L. Mikaelian "Application of optoelectronic neural networks to the selection of contour figure features", Proc. SPIE 2969, Second International Conference on Optical Information Processing, (27 December 1996); https://doi.org/10.1117/12.262568

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KEYWORDS

Neurons

Image segmentation

Neural networks

Neon

Optoelectronics

Rutherfordium

Image processing

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