Title :
Data-dependent filtering based on IF-THEN rules and else rule
Author :
Taguchi, Akira ; Kimura, Tomoaki
Author_Institution :
Department of Electrical and Electronic Engineering, Musashi Institute of Technology, Setagaya-ku, Tokyo 158, Japan
Abstract :
We have proposed fuzzy filters based on local characteristics, in order to remove additive noise while preserving signal edges. Fuzzy filters were constructed by only IF-THEN rules. This paper shows a novel fuzzy filter which is constructed by not only IF-THEN rules but also ELSE rule. A lot of IF-THEN rules which have the same consequent, can be integrated into one ELSE rule. As a results, introducing the ELSE rule can realize increasing the local characteristics for the fuzzy filter without increasing the number of IF-THEN rules.
Keywords :
Filtering; Fires; Fuzzy logic; Gaussian noise; Image processing; Tuning; Wiener filters;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6