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Proceedings Paper

Architecture for computational mathematical morphology
Author(s): John C. Handley
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Paper Abstract

We present a real-time compact architecture for translation- invariant windowed nonlinear discrete filters represented in computational mathematical morphology (CMM). The architecture enables filter values to be computed in a deterministic number of operations and thus can be pipelined. Memory requirements are proportional to the size of the filter basis. A filter is implemented by three steps: 1) each component of a vector observation is used as an index into a table of bit vectors; 2) all retrieved bit vectors are ANDed together; and 3) the position of the unique nonzero bit is used as an index to a table of filter values. We motivate and describe CMM and illustrate the architecture through examples. We also formally analyze the representation upon which the architecture rests. A modification of the basic architecture provides for increasing filters.

Paper Details

Date Published: 8 May 2001
PDF: 8 pages
Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424963
Show Author Affiliations
John C. Handley, Xerox Corp. (United States)


Published in SPIE Proceedings Vol. 4304:
Nonlinear Image Processing and Pattern Analysis XII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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