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Statistic learning-based defect detection for twill fabrics

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Abstract

Template matching methods have been widely utilized to detect fabric defects in textile quality control. In this paper, a novel approach is proposed to design a flexible classifier for distinguishing flaws from twill fabrics by statistically learning from the normal fabric texture. Statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image. On the basis of this, both judging threshold and template are acquired and updated adaptively in real-time according to the real textures of fabric, which promises more flexibility and universality. The algorithms are experimented with images of fault free and faulty textile samples.

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Authors and Affiliations

  1. Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, PRC

    Li-Wei Han & De Xu

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  1. Li-Wei Han
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  2. De Xu
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Correspondence to Li-Wei Han.

Additional information

This work was supported by National Natural Science Foundation of China (No. 60672039).

Li-Wei Han received the B. Sc. degree in computer science from the University of Science and Technology Beijing, Beijing, PRC in 1994. He is currently a Ph.D. candidate at the Institute of Automation, the Chinese Academy of Sciences, Beijing, PRC.

His research interests include image processing and visual positioning of mobile robot.

De Xu received the B. Sc. and M. Sc. degrees from the Shandong University of Technology, Jinan, PRC in 1985 and 1990, respectively, and the Ph.D. degree from Zhejiang University, Hangzhou, PRC in 2001, all in control science and engineering. Since 2001, he has been with the Institute of Automation, the Chinese Academy of Sciences, Beijing, PRC. He is currently a professor at the Laboratory of Complex Systems and Intelligence Science, the Institute of Automation, the Chinese Academy of Sciences.

His research interests include robotics and automation, especially the control of robots such as visual-control and intelligent control.

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Han, LW., Xu, D. Statistic learning-based defect detection for twill fabrics. Int. J. Autom. Comput. 7, 86–94 (2010). https://doi.org/10.1007/s11633-010-0086-7

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  • DOI: https://doi.org/10.1007/s11633-010-0086-7

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