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Proceedings Paper

Fuzzy filters for image smoothing
Author(s): Akira Taguchi; Hironori Takashima; Yutaka Murata
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Paper 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.

Paper Details

Date Published: 1 May 1994
PDF: 8 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172570
Show Author Affiliations
Akira Taguchi, Musashi Institute of Technology (Japan)
Hironori Takashima, Musashi Institute of Technology (Japan)
Yutaka Murata, Musashi Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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