1 May 1994 Fuzzy filters for image smoothing
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Akira Taguchi, Hironori Takashima, Yutaka Murata, "Fuzzy filters for image smoothing", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172570; https://doi.org/10.1117/12.172570

Image filtering

Digital filtering

Nonlinear filtering

Fuzzy logic

Image processing

Gaussian filters

Electronic filtering


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