Paper
19 December 1985 Architectures For Parallel Image Processing
Robert Y. Wong
Author Affiliations +
Abstract
Images taken by airborne and laboratory sensors have been used for many purposes including autonomous guidance, robot vision, medical diagnosis, automated inspection and automated measurements. Scene recognition operations are relatively costly in computing time due to the large amount of data needed to be analyzed. To obtain real-time operations, image processing and scene recognition can be done with several microprocessors operating in parallel. Since many of the operations are repetitive in nature, the use of multipro-cessors can greatly enhance the speed of operations. Architectures of several multiprocessor systems capable of performing image processing and scene matchingare described. The design of a new architecture is also described. This system is designed to take advantages of computing capability of a single stream/multi-data stream structure and the architectural simplicity of a pipeline computer.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Y. Wong "Architectures For Parallel Image Processing", Proc. SPIE 0575, Applications of Digital Image Processing VIII, (19 December 1985); https://doi.org/10.1117/12.966495
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Surgery

Parallel processing

Image sensors

Sensors

Computer architecture

Computing systems

RELATED CONTENT

Vision Automation With The ICOS 20000 Image Computer
Proceedings of SPIE (October 26 1983)
Application Of Parallel Processing To Image Exploitation
Proceedings of SPIE (February 23 1989)
Distributed object recognition system
Proceedings of SPIE (September 15 1995)
Sensory computing
Proceedings of SPIE (November 17 2000)

Back to Top