Laser & Optoelectronics Progress, Volume. 50, Issue 11, 111201(2013)

Flaws Detection System for Resin Lenses Based on Machine Vision

Yao Hongbing1、*, Ma Guidian1, Shen Baoguo2, Gu Jinan1, Zeng Xiangbo1, Zheng Xueliang1, and Tang Faquan1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(15)

    [1] [1] Tian Yuanyuan, Huang Hecheng, Tan Qingchang, et al.. Size measurement of parts based on machine vision[J]. Laser & Optoelectronics Progress, 2010, 47(1): 011501.

    [3] [3] Xiang Shoubing, Su Guangda, Chen Jiansheng, et al.. Brick stack anomaly detection and recognition based on machine vision[J]. Acta Optica Sinica, 2011, 31(7): 0715002.

    [4] [4] Zhang Xuewu, Ding Yangqiong, Yan Ping. Vision inspection of metal surface defects based on infrared imaging[J]. Acta Optica Sinica, 2011, 31(3): 0312004.

    [5] [5] Zhou Hao, Lin Aping, Zhou Bin, et al.. Characteristic of ash deposit growth and temperature field by image processing[J]. J Zhejiang University (Engineering Science), 2013, 47(4): 669-675.

    [6] [6] Wang Fei, Cui Fengkui, Liu Jianting, et al.. A study on the glass surface defect inspection system based on machine vision[J]. Glass & Enamel, 2009, 37(5): 6-10.

    [7] [7] Yu Wenyong, Zhou Zude, Chen Youping. Machine vision system for on line defect detection of float glass[J]. J Huazhong University of Science and Technology (Natural Science Edition), 2007, 35(8): 1-4.

    [8] [8] Chen Xi, Lu Xi, Rren Dacheng. Design of quality inspection device for polyethylene films based on machine vision[J]. Control and Instruments in Chemical Industry, 2012, 39(7): 866-868.

    [9] [9] Hu Guanghua, Zhong Qiusheng. Defect inspection system for optical films based on multi-camera machine vision system[J]. Machinery Design & Manufacture, 2012, (4): 162-164.

    [10] [10] Li Aixing, Yang Tianyi, Zhang Ying. Preliminary research of surface defect recognition based on machine vision[J]. J Chongqing University of Posts and Telecommunications (Natural Science), 2007, 19(4): 442-445.

    [12] [12] Zhao Liping, Li Xiang, Fang Zhongping. TIR illumination technology for defect inspection of plastic ophthalmic lenses[J]. Optics and Precision Engineering, 2011, 19(9): 2047-2254.

    [13] [13] Li Jun. Study on Key Technique of Light Source in Machine Vision[D]. Tianjin: Tianjin University of Technology, 2006.

    [14] [14] Li Xin. Research of Fabric Defects On-Line Detection Method Based on Multi-Cameras Machine Vision[D]. Tianjin: Tianjin University of Science & Technology, 2008.

    [15] [15] Wu Shengyin, Yu Shiqi, Chen Wensheng, et al.. An implementtion of image statiching based on bino cular cameras[C]. Proceedings of 2011 Third Chinese Conference on Intelligent Visual Surveillance, 2011.

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    [1] He Feng, Zhou Yatong, Zhao Xiangyu, Wang Shuai, Zhang Zhongwei. Automatic Weighing and Cutting Method of Strip Optical Glass Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2017, 54(7): 71501

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    Yao Hongbing, Ma Guidian, Shen Baoguo, Gu Jinan, Zeng Xiangbo, Zheng Xueliang, Tang Faquan. Flaws Detection System for Resin Lenses Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2013, 50(11): 111201

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jul. 15, 2013

    Accepted: --

    Published Online: Oct. 20, 2013

    The Author Email: Yao Hongbing (yaoye@ujs.edu.cn)

    DOI:10.3788/lop50.111201

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