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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.395