Fuzzy logic rules in low and mid level computer vision tasks

Author

Keller, James M.

Author_Institution

Dept. of Comput. Sci., Missouri Univ., Columbia, MO, USA

fYear

1996

fDate

19-22 Jun 1996

Firstpage

19

Lastpage

22

Abstract

Humans have excelled at the complex perceptual tasks involved in visual interpretation. Progress has been consistent but fairly slow in performing vision related problems by computer. In an effort to bring more human-like processing into computer vision activities, rule-based systems have been utilized. The uncertainty and vagueness present in image analysis suggest fuzzy logic is a natural paradigm. This presentation is based on a publication exploring the application of fuzzy rule-based systems in various computer vision tasks (Keller et al., 1996). The paper discusses a few of the efforts in this growing field of activity in the areas of low and intermediate level vision

Keywords

computer vision; fuzzy logic; knowledge based systems; uncertainty handling; fuzzy logic; fuzzy logic rules; fuzzy rule-based systems; image analysis; low level computer vision; mid level computer vision; rule-based systems; uncertainty; vagueness; visual interpretation; Application software; Computer vision; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Humans; Image analysis; Image processing; Knowledge based systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Conference_Location

Berkeley, CA

Print_ISBN

0-7803-3225-3

Type

conf

DOI

10.1109/NAFIPS.1996.534696

Filename

534696