Skip to main content
Article thumbnail
Location of Repository

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


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:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • http://techreports.jpl.nasa.go... (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.