Proceedings Paper
Edge detection with a recurrent neural network| Format | Member Price | Non-Member Price |
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Paper Abstract
Edge detection can be treated as a problem in optimization--a problem that can be solved with a Hopfield neural network. This paper describes a neural-network based model capable of producing high-quality edge imagery.
Paper Details
Date Published: 22 March 1996
PDF: 7 pages
Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235958
Published in SPIE Proceedings Vol. 2760:
Applications and Science of Artificial Neural Networks II
Steven K. Rogers; Dennis W. Ruck, Editor(s)
PDF: 7 pages
Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235958
Show Author Affiliations
Michael J. Vrabel, Army Research Lab. (United States)
Published in SPIE Proceedings Vol. 2760:
Applications and Science of Artificial Neural Networks II
Steven K. Rogers; Dennis W. Ruck, Editor(s)
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