Synthesis of the optimal fuzzy filters for image smoothing

Akira Taguchi; Hironori Takashima

doi:10.1117/12.205222

28 March 1995 Synthesis of the optimal fuzzy filters for image smoothing

Akira Taguchi, Hironori Takashima

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205222
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

Akira Taguchi and Hironori Takashima "Synthesis of the optimal fuzzy filters for image smoothing", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205222

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