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 :
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