DocumentCode :
3378459
Title :
A novel approach to fabric defect detection using digital image processing
Author :
Priya, S. ; Kumar, T.A. ; Paul, Varghese
Author_Institution :
Dept. of Comput. Sc. & Eng., Gov. Model Eng. Coll., Emakulam, India
fYear :
2011
fDate :
21-22 July 2011
Firstpage :
228
Lastpage :
232
Abstract :
This paper presents a novel approach to the fast detection and extraction of fabric defects from the images of textile fabric. Automated visual inspection systems are much needed in the textile industry, especially when the quality control of products in textile industry is a significant problem. In the manual fault detection systems with trained inspectors, very less percentage of the defects are being detected while a real time automatic system can increase this to a maximum number .Thus, automated visual inspection systems play a great role in assessing the quality of textile fabrics. For the detection of fabric defects, we first decompose the image into its bit planes. The lower order bit planes are found to carry important information of the location and shape of defects. Then we find the exact location by means of mathematical morphology.
Keywords :
fabrics; feature extraction; image processing; inspection; mathematical morphology; quality control; textile industry; visual databases; TILDA image database; automatic visual inspection system; digital image processing; fabric defect detection; fault detection systems; image decomposition; mathematical morphology; product quality control; textile fabric; textile industry; trained inspectors; Color; Fabrics; Humans; Inspection; Manuals; Weaving; Fabric defects; bitplane decomposition; closing; dilation; erosion; mathematical morphology; opening;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
Type :
conf
DOI :
10.1109/ICSCCN.2011.6024549
Filename :
6024549
Link To Document :
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