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30 March 2000 Design of neural network-based microchip for color segmentation
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emile Fiesler, Tuan A. Duong, and Alexander Trunov "Design of neural network-based microchip for color segmentation", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380576
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