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Proceedings Paper

System Design For Local Neighborhood Processing
Author(s): Patrick F. Leonard; Trevor N. Mudge
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Paper Abstract

A class of processors which perform local neighborhood or cellular operations has well-documented applications in image processing. The architectural feature which unites these processors is their use of special-purpose hardware to compute image transformations based both on the values and on the spatial relationship of pixels in the input image. Typical operations include 3 x 3 convolution and mathematical morphology. Processing elements which compute cellular operations have been incorporated in a variety of system architectures. These range from single-processor, recirculating buffer systems to systems which have thousands of processors in a four-way interconnected mesh. Another feature which unites these processors is that they operate on images in the iconic domain. A new class of non-iconic processor is introduced here which uses image encoding schemes to reduce the number of operations required for certain classes of operations by between one and two orders of magnitude.

Paper Details

Date Published: 11 July 1985
PDF: 8 pages
Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); doi: 10.1117/12.946563
Show Author Affiliations
Patrick F. Leonard, Synthetic Vision Systems, Inc. (United States)
Trevor N. Mudge, University of Michigan (United States)


Published in SPIE Proceedings Vol. 0534:
Architectures and Algorithms for Digital Image Processing II
Francis J. Corbett, Editor(s)

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