Title :
Color image processing control using fuzzy performance indicators
Author :
Bouloudani, Nadia ; Lambert, Patrick ; Mauris, Gilles
Author_Institution :
LAMII, Savoie Univ., Annecy, France
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Virtual and Intelligent Measurement Systems, 2002. VIMS '02. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7344-8
DOI :
10.1109/VIMS.2002.1009361
