Rank order filtering on SIMD machines

Abstract
Rank order filters form an important class of low level image operations that have widespread applications in image smoothing, texture analysis, etc. In the paper, the authors study several ways of computing rank order filters on processor array architectures. They also present a replicated data algorithm for efficient processing of small images on relatively large processor arrays. Results of implementing the algorithms on a Connection Machine CM-2 and a Mas-Par MP-1 are presented.

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