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4 December 1984 Iconic To Symbolic Processing Using A Content Addressable Array Parallel Processor
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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.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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