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Proceedings Paper

Comparative analysis of discrete and continuous Boolean models
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Paper Abstract

The Boolean random set model is a tractable random set model used in image analysis, geostatistics, and queueing systems, among others. It can be formulated in the continuous and discrete settings, each of which offers certain advantages with regard to modeling and estimation. The continuous model enjoys more elegant theory but often results in intractable formulas. The discrete model, especially in the 1D directional case, provides flexible models, tractable estimators, and optimal filters.

Paper Details

Date Published: 14 October 1997
PDF: 10 pages
Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); doi: 10.1117/12.290278
Show Author Affiliations
John C. Handley, Xerox Corp. (United States)
Edward R. Dougherty, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 3167:
Statistical and Stochastic Methods in Image Processing II
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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