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Proceedings Paper

Design of neural network-based microchip for color segmentation
Author(s): Emile Fiesler; Tuan A. Duong; Alexander Trunov
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Paper Abstract

This paper presents an overview of current ongoing research and design efforts conducted by Intelligent Optical Systems, Inc. in the area of hardware-based color segmentation. We discuss the specifics of the design of a microchip that combines a hardwired hybrid neural network with on-chip imaging. Several preliminary tests show high approximation ability of our scheme. The single-chip implement has many advantages. The final product will consists of an RGB pixel array with infinite color depth and a neural network capable of high speed image segmentation.

Paper Details

Date Published: 30 March 2000
PDF: 10 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380576
Show Author Affiliations
Emile Fiesler, Intelligent Optical Systems, Inc. (United States)
Tuan A. Duong, Adaptive Computation Co. (United States)
Alexander Trunov, Intelligent Optical Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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