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Proceedings Paper

Parallel computation of fractal dimension
Author(s): Halford I. Hayes Jr.; Jeffrey L. Solka; Carey E. Priebe
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Paper Abstract

The discrimination of texture features in an image has many important applications, from detection of man-made objects from a surrounding natural background to identification of cancerous from healthy tissue in x-ray imagery. The fractal structure in an image has been used with success to identify these features but requires unacceptable processing time if executed sequentially. We demonstrate a paradigm for applying massively parallel processing to the computation of fractal dimension of an image which will provide the necessary throughput demanded of real time applications. This model is evaluated on several architectures: Vectorizing Supercomputer, MIMD, and massively parallel SIMD computers. Performance comparisons are presented.

Paper Details

Date Published: 1 September 1993
PDF: 12 pages
Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); doi: 10.1117/12.150590
Show Author Affiliations
Halford I. Hayes Jr., Naval Surface Warfare Ctr. (United States)
Jeffrey L. Solka, Naval Surface Warfare Ctr. (United States)
Carey E. Priebe, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 1962:
Adaptive and Learning Systems II
Firooz A. Sadjadi, Editor(s)

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