Color image processing control using fuzzy performance indicators

Author

Bouloudani, Nadia ; Lambert, Patrick ; Mauris, Gilles

Author_Institution

LAMII, Savoie Univ., Annecy, France

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

79

Lastpage

83

Abstract

The aim of this paper is to propose an automatic segmentation method for color images. It is based on the evaluation of some performance indicators which are linked to the action parameters of the fuzzy c-means segmentation process. This is performed by using symbolic representations and a set of fuzzy rules. The setting-up of these rules is a translation of the expert strategy trying to get the best segmentation. Experimental results on textile images are presented to validate this approach.

Keywords

expert systems; fuzzy logic; image colour analysis; image segmentation; symbol manipulation; action parameters; automatic segmentation method; color image processing control; expert strategy; fuzzy c-means segmentation process; fuzzy performance indicators; fuzzy rules; symbolic representations; textile images; Automatic control; Color; Fuzzy control; Humans; Image processing; Image segmentation; Machine vision; Optimal control; Process control; Textiles;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual and Intelligent Measurement Systems, 2002. VIMS '02. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7344-8

Type

conf

DOI

10.1109/VIMS.2002.1009361

Filename

1009361