DocumentCode
1737748
Title
A statistical approach for textile fault detection
Author
Abouelela, A. ; Abbas, H. ; El Deeb, H. ; Nassar, S.
Author_Institution
Electron. Res. Inst., Cairo, Egypt
Volume
4
fYear
2000
fDate
2000
Firstpage
2857
Abstract
The problem of textile quality control is addressed. The basic objective is to detect faults in woven fabrics. A set of statistical modules is implemented and integrated to detect the faulty textiles. The modules are divided into preprocessing modules (normalization, and median filtering) and processing modules (smoothing, and variance). The algorithms are experimented with a set of images of fault free and faulty textiles and output results are analyzed
Keywords
automatic optical inspection; fault location; filtering theory; image recognition; quality control; smoothing methods; statistical analysis; textile industry; fault free textiles; faulty textiles; median filtering; normalization; output results; preprocessing modules; processing modules; statistical approach; statistical modules; textile fault detection; textile quality control; woven fabrics; Electrical fault detection; Fabrics; Fault detection; Inspection; Lighting; Production; Quality control; Smoothing methods; Strips; Textiles;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location
Nashville, TN
ISSN
1062-922X
Print_ISBN
0-7803-6583-6
Type
conf
DOI
10.1109/ICSMC.2000.884431
Filename
884431
Link To Document