Abstract

This paper describes software to support symbolic processing of image events on the image understanding architecture (IUA). The IUA is a massively parallel computer for real-time image understanding tasks. Although well suited for image understanding processing, it presents a challenge to researchers who need to implement algorithms quickly and effectively. We address this challenge by providing a programming model whose basis is a distributed version of the intermediate symbolic representation database, familiar in programming models for symbolic image understanding processing on uniprocessors. In distributing the database, we allow multiple tasks to efficiently manipulate the database symbols in parallel, while hiding most of the additional complexity caused by the data distribution. We illustrate our database by presenting a non-trivial grouping algorithm.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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