DocumentCode
1955411
Title
Research on a New Fabric Defect Identification Method
Author
Zhao, D.X. ; Wang, H. ; Zhu, J.L. ; Li, J.L.
Author_Institution
Sch. of Mech. Eng., Hubei Univ. of Technol., Wuhan
Volume
2
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
814
Lastpage
817
Abstract
A new method of recognition the fabric defects features is proposed for alleviating the difficulties of extracting to complicated fabric defects features. First, fast Fourier transform and self-adaptive power spectrum decomposition are performed. Sector-regional energy of spectrum is extracted and its mean and standard deviations is calculated as fabric features. Then, the spectral energy distribution was objected to direction Y, and local peak was extracted as defects recognition features after objection. Fabric defects recognition using the proposed method shows a high performance in the on-line detection.
Keywords
fabrics; fast Fourier transforms; feature extraction; image recognition; production engineering computing; statistical analysis; textile industry; fabric defect identification; fabric defect recognition; fast Fourier transform; feature extraction; mean deviation; online detection; sector-regional spectrum energy; self-adaptive power spectrum decomposition; spectral energy distribution; standard deviation; Application software; Character recognition; Computer vision; Fabrics; Feature extraction; Frequency domain analysis; Space technology; Statistical analysis; Statistics; Textile technology; fabric defects; feature description; frequency domain characteristics; on-line detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.395
Filename
4722173
Link To Document