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Proceedings Paper

A Functionally Distributed Vision System For Parallel Image Understanding
Author(s): Guo Qiang; Li Zhong-Rong
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Paper Abstract

In this paper, we describe the design of a functionally distributed multiple array processor system for parallel vision processing. This new architecture blends the power of associative processor for performing fast information retrievals with the capability of cellular array processor to process various tasks in parallel. The pixel-based image resides in an Iconic Array Processor(IAP), and the symbolized image resides in a Symbolic Array Processor (SAP). The transfer from iconic to symbolic is accomplished by a Mapping Multi-Processor(MM P). The capabilities of this system allow for feedback between high and low level processing and also support the parallel processing for mapping the pixel-based representation of an image into a symbolic representation(a semantic network) used for high-level vision processing.

Paper Details

Date Published: 14 October 1987
PDF: 6 pages
Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); doi: 10.1117/12.941301
Show Author Affiliations
Guo Qiang, Harbin Institute of Technology (P.R.of China)
Li Zhong-Rong, Harbin Institute of Technology (P.R.of.China)


Published in SPIE Proceedings Vol. 0804:
Advances in Image Processing
Andre J. Oosterlinck; Andrew G. Tescher, Editor(s)

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