A Functionally Distributed Vision System For Parallel Image Understanding

Guo Qiang; Li Zhong-Rong

doi:10.1117/12.941301

14 October 1987 A Functionally Distributed Vision System For Parallel Image Understanding

Guo Qiang, Li Zhong-Rong

Proceedings Volume 0804, Advances in Image Processing; (1987) https://doi.org/10.1117/12.941301
Event: Fourth International Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, The Hague, Netherlands

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.

Citation Download Citation

Guo Qiang and Li Zhong-Rong "A Functionally Distributed Vision System For Parallel Image Understanding", Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); https://doi.org/10.1117/12.941301

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