Paper
9 January 1984 Incorporating Content Addressable Array Processors Into Computer Vision Systems
Charles Weems, Daryl T. Lawton
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Abstract
A design is presented for a Content Addressable Array Parallel Processor (CAAPP) which is both practical and feasible. Its practicality stems from an extensive program of research into real applications of content addressability and parallelism. The feasibility of the design stems from development under a set of conservative engineering constraints tied to limitations of VLSI technology. We then describe various procedures for image processing on the CAAPP. The first performs image convolutions very quickly. It is shown that this algorithm can be generalized to perform convolutions with increased mask size with only a moderate reduction in speed. The second uses the CAAPP to quickly and robustly decompose an optic flow field into its rotational and translational components to recover sensor motion parameters. We also briefly describe techniques for associating symbolic descriptions with extracted image structures in the CAAPP.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles Weems and Daryl T. Lawton "Incorporating Content Addressable Array Processors Into Computer Vision Systems", Proc. SPIE 0435, Architectures and Algorithms for Digital Image Processing, (9 January 1984); https://doi.org/10.1117/12.936986
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Cited by 1 scholarly publication.
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KEYWORDS
Convolution

Image processing

Parallel computing

Image segmentation

Array processing

Computing systems

Logic

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