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Proceedings Paper

Synthesis of the optimal fuzzy filters for image smoothing
Author(s): Akira Taguchi; Hironori Takashima
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Paper Abstract

In this paper it is shown how fuzzy control techniques can be directly applied on adaptive weighted average filters design. It is possible for proposed filters to adjust the weights to adapt to local data in image in order to achieve maximum noise reduction in uniform areas and preserve details of images as well. Furthermore, a method for the automatic tuning of the fuzzy filter has been developed. According to the proposed tuning method, the fuzzy filter is tuned optimally in the mean square error (MSE) sense. This work shows a new approach for image processing based on fuzzy rules.

Paper Details

Date Published: 28 March 1995
PDF: 7 pages
Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); doi: 10.1117/12.205222
Show Author Affiliations
Akira Taguchi, Musashi Institute of Technology (Japan)
Hironori Takashima, Musashi Institute of Technology (Japan)


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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