Fabric Defect Automated Detection Technology

Article Preview

Abstract:

To solve the problem of automated defect detection for textile fabrics, this paper proposed a method for fabric defect detection which is based on computer vision. After the operations in many aspects of basis image processing, such as gray-scale, denoising, contour detection and morphological, and it can transmit the fabric defect image information to host-computer with the USB interface in time. In order to acquire high processing speed, the captured images from each camera are sent into one dedicate computer for distributed and parallel image processing. The experimental result confirms that the proposed method can is feasible in rapid defect detection, and has a broad market prospect.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1431-1434

Citation:

Online since:

June 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] H. Zhao, D. T. Tu. Holograph Sizing of Contaminants in XLPE Cables[J]. IEEE Trans on EI, Vol. 4, 1991, p.217~221.

Google Scholar

[2] Scholz J. Investigations on Fabrics Coated with Precious Metals Using Magnetron Sputter Technique with Regard to Their Antimicrobial Properties [J]. Surface and Coatings Technology, Vol. 192, 2005, pp.252-256.

DOI: 10.1016/j.surfcoat.2004.05.036

Google Scholar

[3] G. S. XU. Linear Array CCD Image Sub-pixel Edge Detection Based on Wavelet Transform[C]. The Second International Conference on Information and Computing Science, No. 2, 2009, pp.207-210.

DOI: 10.1109/icic.2009.160

Google Scholar

[4] G. S. XU. The Study on Real-time Data Processing Based on CCD Scanning and Detecting Device on FPGA [C]. 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems., No. 2, 2009, pp.81-84.

DOI: 10.1109/icicisys.2009.5358238

Google Scholar

[5] Y. Yoshito, M. Horoshi and A. Shiro, Binocular Robot Vision System with Shape Recognition. International Conference on Control, Automation and Systems, Korea, 2007, pp.2299-2301.

DOI: 10.1109/iccas.2007.4406743

Google Scholar