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Proceedings Paper

Fuzzy reasoning rule-based system for image segmentation
Author(s): Zouheir Hamrouni; Charlie J. Krey; Alain Ayache
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Paper Abstract

This paper introduces a general purpose method for black and white image segmentation, which is based on the design of a rule based-system. Rules integrate general knowledge, which is completely independent of environment and scene content ; they process simultanuously regions and lines by merging similar regions, splitting non uniform ones, connecting lines or deleting non significant ones. Rules are selected according to the nature of data under analysis, evaluated by means of a set of performance measurement and ordered according to their efficiency ; only the most efficient ones are really fired. Furthermore, adapted control strategies, using dynamic data selection, allow to focuse the process on the required parts of the image. This paper describes some examples of the rule, and the set of performance measurement for rule efficiency evaluation.

Paper Details

Date Published: 1 August 1990
PDF: 11 pages
Proc. SPIE 1258, Image Communications and Workstations, (1 August 1990); doi: 10.1117/12.19952
Show Author Affiliations
Zouheir Hamrouni, ENSEEIHT (France)
Charlie J. Krey, ENSEEIHT (France)
Alain Ayache, ENSEEIHT (France)


Published in SPIE Proceedings Vol. 1258:
Image Communications and Workstations
Walter Bender; Mitsunaga Saito, Editor(s)

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