DocumentCode
3026965
Title
Fabric defect detection based on wavelet reconstruction
Author
Guan, Shengqi ; Yuan, Jianchang ; Ma, Ke
Author_Institution
Coll. of Mech. & Electron. Eng., Xi´´an Polytech. Univ., Xi´´an, China
fYear
2011
fDate
26-28 July 2011
Firstpage
3520
Lastpage
3523
Abstract
Fabric defect detection is an important part of quality inspection of textiles. Through the relevant theoretical analysis, the fabric image is decomposed by the use of DB wavelet. Then, sub-graphs of wavelet decomposition are selected reconstruction, which effectively inhibit the normal texture information. On this basis, the reconstructed image is morphological filtering to determine the location and area of defect. Experimental results show that the detection method is effectiveness to most defects.
Keywords
image texture; inspection; production engineering computing; quality management; textiles; wavelet transforms; DB wavelet; fabric defect detection; fabric image; morphological filtering; normal texture information; quality inspection; textiles; wavelet decomposition; wavelet reconstruction; Corrosion; Fabrics; Filter banks; Filtering theory; Image reconstruction; Wavelet transforms; Defect detection; Fabric defect; Morphological filter; Wavelet decomposition; Wavelet reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001901
Filename
6001901
Link To Document