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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    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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