YAO Hong-bing, LI Liang-wan, PING Jie, GU Ji-nan, MA Gui-dian, ZENG Xiang-bo, ZHENG Xue-liang. Defect detection for resin lenses based on digital image processing technology[J]. Journal of Applied Optics, 2013, 34(3): 442-446.
Citation: YAO Hong-bing, LI Liang-wan, PING Jie, GU Ji-nan, MA Gui-dian, ZENG Xiang-bo, ZHENG Xue-liang. Defect detection for resin lenses based on digital image processing technology[J]. Journal of Applied Optics, 2013, 34(3): 442-446.
shu

Defect detection for resin lenses based on digital image processing technology

  • School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China

More Information
    Graphical Abstract
    • Abstract
  • The automatic defect detection technology for resin lenses was studied, including its hardware system design and its image processing method. The image difference method was used to remove the edge of the lens image in order to obtain high detecting speed, the effect of dust in lens detection was solved, and an improved normalization method was also proposed to determine the number of defects, which could provide technical support and feasibility for the development of subsequent digital control module of the classifying and sorting system of the whole resin lenses defect detection system. Detection accuracy of the detection system is 0.03 mm, speed is 1 piece/s, and the measuring error is maintained below 5%.
    • FullText(HTML)
    • References (1)
  • ［1］MIEMAN CLIFFORD, SRINIVASAN THYAGARAJAN, BIBBY YU. Optical mechanical testing system for detecting manufacturing defects in glass lenses［J］. Journal of Engineering Technology, 1997, 14(1): 28-32.
    ［2］REBSAMEN MARYLINE, BOUCHEIX JEANMICHEL, FAYOL MICHEL. Quality control in the optical industry: From a work analysis of lens inspection to a training programme, an experimental case study［J］. Applied Ergonomics, 2010, 41(1):150-160.
    ［3］SATORRES MARTINEZ S, GOMEZ ORTEGA J, GAMEZ GARCIA J, et al. A machine vision system for defect characterization on transparent parts with non-plane surfaces［J］. Machine Vision and Applications, 2012, 23(1):1-13.
    ［4］ZHAO Li-Ping, LI Xiang, FANG Zhong-Ping. TIR illumination technology for defect inspection of plastic ophthalmic lenses［J］. Optics and Precision Engineering, 2011, 19(9): 2247-2254.
    ［5］张东源,张晓光,闫秀生,等. CCD摄像机大视场光学镜头的设计［J］. 应用光学, 2006,27(2):105-107.
    ZHANG Dong-yuan,ZHANG Xiao-guang,YAN Xiu-sheng,et al. CCD camera large field of view optical lens design［J］. Journal of Applied Optics,  2006,27(2):105-107.(in Chinese with an English abstract)
    ［6］HUANG Yan-jun. Research based on the FPGA digital image preprocessing algorithm［D］.Nanjing: Nanjing University of Science and Technology, 2009.
    ［7］CHEN Qi, XIONG Bo-li, LU Jun, et al. Improved two-dimensional otsu image segmentation method and fast recursive realization［J］. Journal of Electronics and Information Technology,2010,32(5):1100-1104.
    ［8］WANG G, CHEN D, LIN J,et al. The application of chaotic oscillators to weak signal detection［J］. IEEE Trans.Signal Proc, 1999, 46(2):440-444.
    ［9］CHIU S H, LIAW J J, LIN Kuo-hung. A fast randomized hough transform for circle/circular arc recognition［J］. International Journal of Pattern Recognition and Artificial Intelligence, 2010, 24(3):457-474.
    ［10］LIU Jun-li. Research on milk somatic cell image processing and counting method［D］. Huhehaote:Inner Mongolia Agricultural University,2007.
    • Related Articles

  • Related Articles

    [1]HE Zebin, CHEN Chang, YANG Junsheng, YANG Binglin, WANG Shuang, LI Kewu, WU Qiannan. Detection of pollution defects in integrated circuit chips using short-wave infrared polarization imaging[J]. Journal of Applied Optics, 2025, 46(2): 388-394. DOI: 10.5768/JAO202546.0203004
    [2]WANG Pengfei, QIU Xiangbiao, SHAO Aifei, SUN Sailin, CONG Xiaoqing, JIN Ge, SUN Jianning, WANG Jian, QIAO Fangjian, GAO Peng, ZHAO Sheng, CHEN Kunyang. Influence of input electrode of micro-channel plate on opening area ratio and its improvement[J]. Journal of Applied Optics, 2022, 43(6): 1158-1164. DOI: 10.5768/JAO202243.0604016
    [3]TANG Wenrui, MA Lin, ZHU Siqi, LIN Sifan, JIA Longze. Area mapping for water and forest based on satellite hyper-spectral remote sensing[J]. Journal of Applied Optics, 2022, 43(5): 886-892. DOI: 10.5768/JAO202243.0502002
    [4]ZHU Han, LIN Li, WANG Jianhua, CHEN Jian. Multi-level detection method for PCB board defects based on improved template matching and image difference[J]. Journal of Applied Optics, 2020, 41(4): 837-843. DOI: 10.5768/JAO202041.0409806
    [5]HAN Zhiwei, GAO Meifeng. Image detection method for surface defects of brake pads[J]. Journal of Applied Optics, 2020, 41(3): 538-547. DOI: 10.5768/JAO202041.0302008
    [6]LIU Huaiguang, LIU Anyi, ZHOU Shiyang, LIU Hengyu, YANG Jintang. Research on detection agorithm of solar cell component defects based on deep neural network[J]. Journal of Applied Optics, 2020, 41(2): 327-336. DOI: 10.5768/JAO202041.0202006
    [7]Wang Chao, Ji Ming, Wang Jiao-ying, Jiang Wen-tao, Xie Jing, Li Tao, Gao Ya. Multi-target detecting algorithm based on digital image[J]. Journal of Applied Optics, 2015, 36(3): 386-390. DOI: 10.5768/JAO201536.0302001
    [8]YAO Hong-bing, PING Jie, LI Liang-wan, GU Ji-nan, ZENG Xiang-bo, MA Gui-dian, ZHENG Xue-liang. Automatic defect inspection system for spectacle lenses[J]. Journal of Applied Optics, 2013, 34(4): 633-638.
    [9]ZHANG Jing-guo, DING Ya-lin, TIAN Hai-ying, LI Yan-wei, YUAN Guo-qin, YU Chun-feng. Compensation for forward image motion of color area array CCD mapping camera[J]. Journal of Applied Optics, 2011, 32(3): 460-463.
    [10]XU Zheng-guang, WANG Xia, WANG Ji-hui, JIN Wei-qi, BAI Ting-zhu. Research of an Approach to Detect Field Defects of Image Intensifier[J]. Journal of Applied Optics, 2005, 26(3): 12-15.

Catalog

    Get Citation
    PDF
    XML
    Article views (2651) PDF downloads (473) Cited by()
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles

    Related Databases

    Advertising cooperation

    Links

    Help Center

    WeChat

    You are the  2902419th  visitor, Welcome!

    Address: No.9, west section of No.3 electronic road, Xi'an　Post Code: 710065 Tel: 029-88288172

    Copyright © Editorial Department of Journal of Applied Optics

    陕公网安备 61011302001501号       陕ICP备19002862号-1

    Beijing Renhe Information Technology Co., Ltd.   support: info@rhhz.net   百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return