Image Processing Computer Using Three-Dimensional Cellular Logic Architecture

Allen Klinger; Kendall Preston

doi:10.1117/12.933726

28 December 1982 Image Processing Computer Using Three-Dimensional Cellular Logic Architecture

Allen Klinger, Kendall Preston

Proceedings Volume 0341, Real-Time Signal Processing V; (1982) https://doi.org/10.1117/12.933726
Event: 1982 Technical Symposium East, 1982, Arlington, United States

Abstract

Specialized logic to accomplish image processing has been available since the early 1960's. Systems like CELLSCAN, GLOPR, and diff3 have the capability to perform, (respectively) at least 103, 105 and 107 picture point or pixel operations per second using a local organization of inputs to each gate. This kind of image processing system has been known as cellular logic. The term goes back to the early days of computers through the work of von Neumann [1,2] and Moore [3] on automata; a recent survey paper co-authored by one of us [4] discusses cellular logic and applications in medical image processing. Neighborhood processing is a similar term used to describe a system with pipelining added to conserve the number of gates needed; see [5].

Citation Download Citation

Allen Klinger and Kendall Preston "Image Processing Computer Using Three-Dimensional Cellular Logic Architecture", Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); https://doi.org/10.1117/12.933726

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