A noise smoother using cascaded FIRE filters

Author

Russo, Fabrizio ; Ramponi, Giovanni

Author_Institution

Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy

Volume

1

fYear

1995

fDate

20-24 Mar 1995

Firstpage

351

Abstract

FIRE (Fuzzy Inference Ruled by Else-action) operators are a family of rule-based fuzzy operators dedicated to image processing applications. In this work the latest member of this family is presented: a noise smoother which is composed of two cascaded FIRE filters. Such operators are based on an improved inference mechanism which permits a better control of the fuzzy set parameters in order to achieve the desired performance. As a result, cascaded operators can be very easily tuned in order to obtain a more efficient design of a fuzzy smoother. The performance of the proposed method is analyzed for the case of images degraded by different levels of noise and the obtained results compare favourably to those yielded by other methods in the literature

Keywords

fuzzy logic; image processing; inference mechanisms; smoothing methods; cascaded FIRE filters; fuzzy inference ruled by else-action operators; fuzzy smoother; image processing; inference mechanism; noise smoother; rule-based fuzzy operators; Degradation; Filters; Fires; Fuzzy control; Fuzzy sets; Image analysis; Image processing; Inference mechanisms; Noise level; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409703

Filename

409703