Share Email Print
cover

Proceedings Paper

Architectural considerations for linear-camera vision systems
Author(s): John W. V. Miller
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

While linear cameras offer substantial advantages over standard television cameras for many vision applications, the lack of suitable high-performance image-processing hardware has significantly limited their potential benefits. Very powerful image-processing hardware is available for matrix cameras and, although many of these systems have provisions for interfacing to linear cameras, they restrict the inherent flexibility and power of linear cameras. The very large images and high data rates associated with linear cameras impose significant processing problems with existing linear-camera hardware designs with their very limited processing capability. Hence, a highly desirable objective is new hardware that will provide significantly improved processing capability without the need for frame buffers with their inherent restrictions on image size and format. A variety of approaches are being evaluated for enhancing linear-camera processing architectures using processing power, cost effectiveness, flexibility, and ease of programming as the primary criteria.

Paper Details

Date Published: 1 March 1992
PDF: 8 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58802
Show Author Affiliations
John W. V. Miller, Univ. of Michigan/Dearborn (United States)


Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

© SPIE. Terms of Use
Back to Top