Laser & Optoelectronics Progress, Volume. 56, Issue 13, 131006(2019)

Surface Defect Detection of Polyvinyl Chloride Pipes Based on Machine Vision

Shuhua Li1, Yatong Zhou1、*, Dan Wang1, Jingfei He1, and Zhongwei Zhang2
Author Affiliations
  • 1 Tianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2 Beijing Anshi ChineLec Ltd., Beijing 100871, China
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    References(21)

    [9] Hu G H, Wang Q H. Fabric defect detection via un-decimated wavelet decomposition and Gumbel distribution model[J]. Journal of Engineered Fibers and Fabrics, 13, 15-32(2018).

    [14] Ma Y. The application research of PVC product inspection by edge detection[D]. Hangzhou: Zhejiang University of Technology, 19-27(2004).

    [15] Long X W. PVC surface defect detection method based on image vision and application[D]. Changsha: Central South University, 9-19(2007).

    [18] Prabuwono A S, Sulaiman R, Hamdan A R et al. Development of intelligent visual inspection system (IVIS) for bottling machine. [C]∥TENCON 2006 - 2006 IEEE Region 10 Conference, November 14-17,2006, Hong Kong, China. New York: IEEE, 343887(2006).

    [19] Zhang Z, Wang Y P, Xue G X[M]. Digital image processing and machine vision: implementation of Visual C++ and Matlab, 70-72(2014).

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    Shuhua Li, Yatong Zhou, Dan Wang, Jingfei He, Zhongwei Zhang. Surface Defect Detection of Polyvinyl Chloride Pipes Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131006

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    Paper Information

    Category: Image Processing

    Received: Dec. 27, 2018

    Accepted: Jan. 28, 2019

    Published Online: Jul. 11, 2019

    The Author Email: Zhou Yatong (zyt@hebut.edu.com)

    DOI:10.3788/LOP56.131006

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