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Proceedings Paper

Fuzzy logic applications in image processing and printing
Author(s): Ali Asgharzadeh; Nader Vadiee; Mohammad Jamshidi
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Paper Abstract

The development and analysis of a fuzzy logic rule based system capable of improving the quality of printed picture from video images is introduced in this paper. This will be achieved via fuzzy logic by controlling video image attributes such as color, sharpness, brightness and contrast. Each printed image is given a score (S) by human experts and then this result is stored in a database which consists of the corresponding video image attributes and video printer settings. From this database a set of fuzzy IF-THEN rules are derived to maximize the score S over a large set of printed pictures which results in minimizing the cost function.

Paper Details

Date Published: 22 December 1993
PDF: 5 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165052
Show Author Affiliations
Ali Asgharzadeh, Univ. of New Mexico (United States)
Nader Vadiee, Univ. of New Mexico (United States)
Mohammad Jamshidi, Univ. of New Mexico (United States)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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