Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

A multiple-level heterogeneous architecture for image understanding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shu, D.B. ; Hughes Res. Lab., Malibu, CA, USA ; Nash, J.G. ; Weems, C.C.

The image understanding architecture (IUA) system is designed specifically for computer vision processing that relies heavily on artificial intelligence techniques to classify objects. To provide for low-, intermediate-, and high-level computer vision processing, the IUA system combines three heterogeneous levels of parallelism with associative processing mechanisms. The lowest level of the IUA contains a SIMD array of per pixel bit-serial processing elements with networking capabilities that exceed those of present bit-serial machines. The SIMD level is closely mated with a middle-level MIMD array of high-performance digital signal processing chips that communicate via a flexible, modular message-passing network. The dual-capability architecture is much more effective than a solely SIMD or MIMD organization. The highest level comprises an array of general-purpose microprocessors for symbol manipulation. The first- and second-generation implementations of the IUA architecture are described

Published in:

Application Specific Array Processors, 1990. Proceedings of the International Conference on

Date of Conference:

5-7 Sep 1990