DocumentCode :
3345944
Title :
Fuzzy anisotropic diffusion for speckle filtering
Author :
Aja, Santiago ; Alberola, Carlos ; Ruiz, Juan
Author_Institution :
E.T.S.I. Telecomunicacion, Valladolid, Spain
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1261
Abstract :
An anisotropic diffusion filter controlled by fuzzy rules is presented. The proposed filter is based in the Perona-Malik technique, using fuzzy reasoning to calculate the diffusion coefficient which controls the whole diffusion. The method has the advantage that it can be used for both smoothing and noise cleaning, as well as edge enhancement. This new approach also allows us to model the diffusion process through a rule base to have a better performance. Some examples are given to illustrate the effectiveness of the proposed technique
Keywords :
diffusion; edge detection; fuzzy logic; image enhancement; smoothing methods; speckle; Perona-Malik technique; anisotropic diffusion filter; diffusion process; edge enhancement; fuzzy anisotropic diffusion; fuzzy reasoning; fuzzy rules; noise cleaning; smoothing; speckle filtering; Anisotropic magnetoresistance; Cleaning; Diffusion processes; Filtering; Filters; Fuzzy control; Fuzzy reasoning; Smoothing methods; Speckle; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941154
Filename :
941154
Link To Document :
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