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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884431
