NDLI: Fabric Defect Detection Based on Wavelet Characteristics

Content Provider	IEEE Xplore Digital Library
Author	Shengqi Guan Xiuhua Shi Haiying Cui Yuqin Song
Copyright Year	2008
Description	Author affiliation: Coll. of Marine Eng., Northwestern Polytech. Univ., Xi'an (Shengqi Guan; Xiuhua Shi; Haiying Cui; Yuqin Song)
Abstract	On the basis of wavelet and singular signal characteristic analysis, a new defect detection method based on wavelet characteristics is presented. Firstly, to select wavelet filters of compact support and high vanishing moment properties are regarded as finite biorthogonal filters. Secondly, the new wavelet with concussive and filters coefficients of centralized distribution is constructed by lifting scheme, which is matching with test fabric texture properties. Lastly, the detail signal feature after wavelet decomposition of fabric image is extracted, and it is compared with the detail signal feature of normal fabric image decomposition to determine whether there exists defect. The experimental result confirms that the proposed method is validity and the detection accuracy is over 92.5%.
Starting Page	366
Ending Page	370
File Size	1040910
Page Count	5
File Format	PDF
ISBN	9780769534909
DOI	10.1109/PACIIA.2008.179
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Lifting Sheme Wavelet analysis Image decomposition Defect Detection Filters Feature extraction Fabrics Polynomials Wavelet characteristics Signal analysis Textile industry Testing
Content Type	Text
Resource Type	Article

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