Title :
A noise smoother using cascaded FIRE filters
Author :
Russo, Fabrizio ; Ramponi, Giovanni
Author_Institution :
Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
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;
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
DOI :
10.1109/FUZZY.1995.409703
