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Proceedings Paper

Analysis of morphological structuring elements generated using adaptive resonance theory
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Paper Abstract

In this paper we consider the formation of morphological templates using adaptive resonance theory. We examine the role of object variability and noise on the clustering of different sized objects as a function of the vigilance parameter. We demonstrate that the fuzzy adaptive resonance theory is robust in the presence of noise but that for poor choice of vigilance there is a proliferation of prototypical categories. We apply the technique to detection of abnormal cells in pap smears.

Paper Details

Date Published: 28 March 1995
PDF: 8 pages
Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); doi: 10.1117/12.205266
Show Author Affiliations
John P. Sharpe, California Polytechnic State Univ. (United States)
Nilgun Sungar, California Polytechnic State Univ. (United States)
Ramkumar Narayanswamy, Univ. of Colorado/Boulder (United States)
Kristina M. Johnson, Univ. of Colorado/Boulder (United States)


Published in SPIE Proceedings Vol. 2424:
Nonlinear Image Processing VI
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham; Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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