An overview of fuzzy filters for noise reduction

Author

Nachtegael, M. ; Van der Weken, D. ; Van De Ville, D. ; Kerre, E. ; Philips, W. ; Lemahieu, I.

Author_Institution

Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Belgium

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

7

Lastpage

10

Abstract

In this paper we give an overview of existing fuzzy filters for image noise reduction. The paper is a sequel to our overview of classical and fuzzy-classical filters (2001), and can be seen as a preparation to our comparative study of classical and fuzzy filters for image noise reduction. We discuss the ideas behind and the construction of the following fuzzy filters: the "fuzzy inference ruled by else-action" filters, the "fuzzy control based" filters, and the GOA filter. Our goal is to give a consistent overview of these fuzzy filters, and to clearly show the mutual differences between them

Keywords

filtering theory; fuzzy set theory; image processing; FIRE filter; GOA filter; fuzzy filters; fuzzy inference; fuzzy set theory; image noise reduction; iterative fuzzy control based filter; Fires; Fuzzy sets; Fuzzy systems; Information filtering; Information filters; Mathematics; Noise reduction; Pixel; Shape; Telecommunication computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1007231

Filename

1007231