DocumentCode
2816101
Title
Markov random fields and Karhunen-Loeve transforms for defect inspection of textile products
Author
Özdemir, Serhat ; Ercil, Aytül
Author_Institution
Dept. of Comput. Eng., Bogazici Univ., Istanbul, Turkey
Volume
2
fYear
1996
fDate
18-21 Nov 1996
Firstpage
697
Abstract
In this paper the problem of using machine vision in quality inspection of textile fabrics is considered. A model based approach with Markov random fields (MRF) as the texture model and a new method based on Karhunen-Loeve transforms is studied for the defect inspection of textile fabrics. The results are illustrated on real fabric images, and the real time implementation of the MRF approach on a two TMS320C40 based parallel processing system is given
Keywords
Markov processes; automatic optical inspection; computer vision; image texture; parallel processing; quality control; real-time systems; textile industry; transforms; Karhunen-Loeve transforms; Markov random fields; defect inspection; machine vision; parallel processing; real time systems; textile fabrics; texture analysis; Brightness; Fabrics; Humans; Image texture analysis; Inspection; Karhunen-Loeve transforms; Markov random fields; Parallel processing; Real time systems; Textile products;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference on
Conference_Location
Kauai, HI
Print_ISBN
0-7803-3685-2
Type
conf
DOI
10.1109/ETFA.1996.573989
Filename
573989
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