Fuzzy filters for image smoothing

Akira Taguchi; Hironori Takashima; Yutaka Murata

doi:10.1117/12.172570

1 May 1994 Fuzzy filters for image smoothing

Akira Taguchi, Hironori Takashima, Yutaka Murata

Proceedings Volume 2180, Nonlinear Image Processing V; (1994) https://doi.org/10.1117/12.172570
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

This paper shows how fuzzy control techniques can be directly applied on adaptive weighted mean 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. This work shows a new approaches for image processing based on fuzzy rules.

Citation Download Citation

Akira Taguchi, Hironori Takashima, and Yutaka Murata "Fuzzy filters for image smoothing", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); https://doi.org/10.1117/12.172570

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