Analysis of morphological structuring elements generated using adaptive resonance theory

John P. Sharpe; Nilgun Sungar; Ramkumar Narayanswamy; Kristina M. Johnson

doi:10.1117/12.205266

28 March 1995 Analysis of morphological structuring elements generated using adaptive resonance theory

John P. Sharpe, Nilgun Sungar, Ramkumar Narayanswamy, Kristina M. Johnson

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205266
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

John P. Sharpe, Nilgun Sungar, Ramkumar Narayanswamy, and Kristina M. Johnson "Analysis of morphological structuring elements generated using adaptive resonance theory", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205266

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