Implementing An Image Understanding System Architecture Using Pipe

Randall L. Luck

doi:10.1117/12.942821

22 March 1988 Implementing An Image Understanding System Architecture Using Pipe

Randall L. Luck

Proceedings Volume 0849, Automated Inspection and High-Speed Vision Architectures; (1988) https://doi.org/10.1117/12.942821
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

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.

Citation Download Citation

Randall L. Luck "Implementing An Image Understanding System Architecture Using Pipe", Proc. SPIE 0849, Automated Inspection and High-Speed Vision Architectures, (22 March 1988); https://doi.org/10.1117/12.942821

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