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Proceedings Paper

Parallel processing of run-length-encoded Boolean imagery: linear transformations and high-level image operations
Author(s): Mark S. Schmalz
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Paper Abstract

This is the second of two papers which describe algorithms for the processing of Boolean imagery compressed by runlength encoding (RLE). In the previous paper, we presented sequential and parallel algorithms for a variety of operations over RLE imagery, including the customary arithmetic and logical Hadamard operations, as well as the global reduce functions of image sum and maximum. In this paper, we discuss RLE neighborhood-based operations, as well as the more advanced RLE operations of linear transforms, connected component labelling, and pattern recognition.

Paper Details

Date Published: 3 September 1993
PDF: 11 pages
Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); doi: 10.1117/12.154993
Show Author Affiliations
Mark S. Schmalz, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 1955:
Signal Processing, Sensor Fusion, and Target Recognition II
Ivan Kadar; Vibeke Libby, Editor(s)

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