Fuzzy vector filters using novel distance criteria

Author

Androutsas, D. ; Plataniotis, K.N. ; Venetsanopoulos, A.N.

Author_Institution

Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada

Volume

2

fYear

1995

fDate

5-8 Sep 1995

Firstpage

941

Abstract

A new family of nonlinear filters that use fuzzy membership functions based on different distance measures is proposed for colour image processing. The proposed filters constitute a fuzzy generalization at well known multichannel filters. The principle behind the new filters is explained and comparisons with other nonlinear filters are provided. Colour images corrupted with different type of noises are used to assess the performance of the proposed filters. Simulation results indicate that the new filters offer some flexibility and have excellent performance

Keywords

filtering theory; fuzzy systems; image colour analysis; image processing; noise; nonlinear filters; colour image processing; distance criteria; distance measures; fuzzy generalization; fuzzy membership functions; fuzzy vector filters; multichannel filters; noise corrupted images; nonlinear filters; performance; simulation results; Color; Colored noise; Electric variables measurement; Filtering; Gaussian noise; Image edge detection; Image processing; Image recognition; Nonlinear filters; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1995. Canadian Conference on

Conference_Location

Montreal, Que.

ISSN

0840-7789

Print_ISBN

0-7803-2766-7

Type

conf

DOI

10.1109/CCECE.1995.526583

Filename

526583