Proceedings Paper
Multiple structuring element neural learning via cellular logic| Format | Member Price | Non-Member Price |
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Paper Abstract
An idea for the construction of morphological structuring elements by neural learning from multiple targets is proposed. Accordingly, neural erosion is developed. Thus multi-character recognition and multi-to-one symbolic substitution can be easily realized. Optical implementation based on incoherent optical correlation is illustrated.
Paper Details
Date Published: 5 August 1994
PDF: 3 pages
Proc. SPIE 2321, Second International Conference on Optoelectronic Science and Engineering '94, (5 August 1994); doi: 10.1117/12.182099
Published in SPIE Proceedings Vol. 2321:
Second International Conference on Optoelectronic Science and Engineering '94
Wang Da-Heng; Anna Consortini; James B. Breckinridge, Editor(s)
PDF: 3 pages
Proc. SPIE 2321, Second International Conference on Optoelectronic Science and Engineering '94, (5 August 1994); doi: 10.1117/12.182099
Show Author Affiliations
Lan Shao, Shanghai Institute of Optics and Fine Mechanics (China)
Liren Liu, Shanghai Institute of Optics and Fine Mechanics (China)
Liren Liu, Shanghai Institute of Optics and Fine Mechanics (China)
Guoqiang Li, Shanghai Institute of Optics and Fine Mechanics (China)
Xuejun Zhang, Shanghai Institute of Optics and Fine Mechanics (China)
Xuejun Zhang, Shanghai Institute of Optics and Fine Mechanics (China)
Published in SPIE Proceedings Vol. 2321:
Second International Conference on Optoelectronic Science and Engineering '94
Wang Da-Heng; Anna Consortini; James B. Breckinridge, Editor(s)
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