Title :
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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007231
