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Proceedings Paper

New results on optimality and consistency of morphological openings and closings
Author(s): Nicholaos D. Sidiropoulos; John S. Baras; Carlos A. Berenstein
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Paper Abstract

It has been recently shown that morphological openings and closings can be viewed as consistent MAP estimators of morphologically smooth signals in i.i.d. noise. We revisit this viewpoint under a different set of assumptions, which allows the explicit incorporation of geometric and morphological contraints into the noise model, i.e., the noise may now exhibit geometric structure; surprisingly, it turms out that this affects neither the optimality nor the consistency of these filters.

Paper Details

Date Published: 11 August 1995
PDF: 5 pages
Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); doi: 10.1117/12.216344
Show Author Affiliations
Nicholaos D. Sidiropoulos, Univ. of Maryland/College Park (United States)
John S. Baras, Univ. of Maryland/College Park (United States)
Carlos A. Berenstein, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 2568:
Neural, Morphological, and Stochastic Methods in Image and Signal Processing
Edward R. Dougherty; Francoise J. Preteux; Sylvia S. Shen, Editor(s)

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