Iconic To Symbolic Processing Using A Content Addressable Array Parallel Processor

Daryl Lawton; Steve Levitan; Chip Weems; Edward Riseman; Allen Hanson; Michael Callahan

doi:10.1117/12.944851

4 December 1984 Iconic To Symbolic Processing Using A Content Addressable Array Parallel Processor

Daryl Lawton, Steve Levitan, Chip Weems, Edward Riseman, Allen Hanson, Michael Callahan

Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944851
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

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.

Citation Download Citation

Daryl Lawton, Steve Levitan, Chip Weems, Edward Riseman, Allen Hanson, and Michael Callahan "Iconic To Symbolic Processing Using A Content Addressable Array Parallel Processor", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944851

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