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Proceedings Paper

Implementing An Image Understanding System Architecture Using Pipe
Author(s): Randall L. Luck
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Paper Abstract

This paper will describe PIPE® and how it can be used to implement an image understanding system. Image understanding is the process of developing a description of an image in order to make decisions about its contents. The tasks of image understanding are generally split into low level vision and high level vision. Low level vision is performed by PIPE -a high performance parallel processor with an architecture specifically designed for processing video images at up to 60 fields per second. High level vision is performed by one of several types of serial or parallel computers - depending on the application. An additional processor called ISMAP performs the conversion from iconic image space to symbolic feature space. ISMAP plugs into one of PIPE's slots and is memory mapped into the high level processor. Thus it forms the high speed link between the low and high level vision processors. The mechanisms for bottom-up, data driven processing and top-down, model driven processing are discussed.

Paper Details

Date Published: 22 March 1988
PDF: 7 pages
Proc. SPIE 0849, Automated Inspection and High-Speed Vision Architectures, (22 March 1988); doi: 10.1117/12.942821
Show Author Affiliations
Randall L. Luck, Aspex Incorporated (United States)


Published in SPIE Proceedings Vol. 0849:
Automated Inspection and High-Speed Vision Architectures
Rolf-Juergen Ahlers; Michael J. W. Chen, Editor(s)

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