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Proceedings Paper

Iconic To Symbolic Processing Using A Content Addressable Array Parallel Processor
Author(s): Daryl Lawton; Steve Levitan; Chip Weems; Edward Riseman; Allen Hanson; Michael Callahan
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Paper Abstract

We discuss the design of a large scale Content Addressable Array Parallel Processor (CAAPP) for low, medium and high level vision processing. This new architecture combines associative processing with global broadcast and response to and from an array of cells, and array processing via local cellular square neighborhood computation. The capabilities of the CAAPP allow us to close the feedback loop between high level processing and low level processing by supporting communication between different representations of an image. The CAAPP would provide a means of mapping the signal level (iconic) pixel-based representation of an image into a symbolic intermediate level representation suitable for high level vision processing.

Paper Details

Date Published: 4 December 1984
PDF: 20 pages
Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944851
Show Author Affiliations
Daryl Lawton, University of Massachusetts (United States)
Steve Levitan, University of Massachusetts (United States)
Chip Weems, University of Massachusetts (United States)
Edward Riseman, University of Massachusetts (United States)
Allen Hanson, University of Massachusetts (United States)
Michael Callahan, University of Massachusetts (United States)


Published in SPIE Proceedings Vol. 0504:
Applications of Digital Image Processing VII
Andrew G. Tescher, Editor(s)

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