Liu, Shih-Chii and Harris, John G. (1991) Negative fuse network. In: Visual Information Processing: From Neurons to Chips. Proceedings of SPIE. No.1473. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 185-193. ISBN 9780819405821. https://resolver.caltech.edu/CaltechAUTHORS:20181213-143633183
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Abstract
The authors describe the negative fuse, an analog model which encourages boundary completion in early vision regularization algorithms. This algorithm is an extension of the successful implementation of line processes in analog VLSI using the resistive fuse (Harris et al.). The negative fuse provides for true negative resistance regions for the enhancement of edges, making long connected edges more likely to occur. This model has a natural mapping into inexpensive, fast, low-power analog hardware. The authors discuss the performance of a negative fuse element fabricated in VLSI and show simulations of network performance on digitized camera images.
Item Type: | Book Section | ||||||
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Additional Information: | © 1991 Society of Photo-Optical Instrumentation Engineers (SPIE). We thank Bimal Mathur for discussions. Work at Caltech was supported in part by grants from the Rockwell International Science Center and the Hughes Artificial Intelligence Center. Harris is a Hughes Aircraft Doctoral Fellow. | ||||||
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Series Name: | Proceedings of SPIE | ||||||
Issue or Number: | 1473 | ||||||
DOI: | 10.1117/12.45551 | ||||||
Record Number: | CaltechAUTHORS:20181213-143633183 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20181213-143633183 | ||||||
Official Citation: | Shih-Chi Liu, John G. Harris, "Negative fuse network," Proc. SPIE 1473, Visual Information Processing: From Neurons to Chips, (9 July 1991); doi: 10.1117/12.45551 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 91817 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | George Porter | ||||||
Deposited On: | 18 Dec 2018 23:28 | ||||||
Last Modified: | 16 Nov 2021 03:44 |
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