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A Compact VLSI Neural Computer Integrated with Active Pixel Sensor for Real-time Machine Vision Applications

By Wai-chi Fang, Suraphol Udomkesmalee and Leon Alkalai

Abstract

A compact VLSI neural computer integrated with an active pixel sensor has been under development to mimic what is inherent in biological vision systems. This electronic eye-brain computer is targeted for real-time machine vision applications which require both high-bandwidth communication and performance computing for data sensing, synergy of multiple types of sensory information, feature extraction, target detection, target recognition, and control functions, The neural computer is based on a composite structure which combines Annealing Cellular Neural Network (ACNN) and Hierarchical SelfOrganization Neural Network The ACNN architecture is a programmable and scalable multidimensional array of annealing neurons which are locally connected with their neurons. Meanwhile, the HSONN adopts a hierarchical structure with nonlinear basis functions. The neural computer is effectively designed to perform programmable functions for machine vision processing in all levels with its embedded host ..

Year: 1997
OAI identifier: oai:CiteSeerX.psu:10.1.1.31.5385
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