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