Fuzzy Processing of Image Data Using FIRE Filters

Issue title: Fuzzy Signal and Image Processing

Article type: Research Article

Authors: Russo, Fabrizio

Affiliations: D.E.E.I. - University of Trieste, Via A. Valerio 10, Trieste, I-34127, Italy. Tel.: +39-40-6763015; fax: +39-40-6763460; e-mail: [email protected]

Abstract: FIRE (Fuzzy Inference Ruled by Else-action) filters are a family of nonlinear operators which process image data by adopting fuzzy rules. This work presents two new filters of this family and their application to image data corrupted by different noise distributions. The proposed filters are favourably compared to other operators in the literature.

DOI: 10.3233/IFS-1997-5407

Journal: Journal of Intelligent and Fuzzy Systems, vol. 5, no. 4, pp. 361-366, 1997