GLASS DEFECT DETECTION BASED ON IMAGE PROCESSING

被引:0
|
作者
Zhao Xiaofang [1 ]
Yang Jie [1 ]
Zhang Guobin [1 ]
机构
[1] Dongguan Univ Technol, Sch Elect Engn, Dongguan 523808, Peoples R China
关键词
glass defects; image processing; pretreatment; defect detection;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Due to the limitations of manual inspection of glass defects, using image processing technology to automatically detect the glass defects is proposed in this paper. First the sampled glass images are preprocessed using median filter and mathematical morphology in the glass detection system to get the enhanced images, and then extract the shape, position and size of the detect feature parameters. The effectiveness of algorithm is testified by simulation results.
引用
收藏
页码:155 / 159
页数:5
相关论文
共 50 条
  • [41] Study of fluid edge detection and tracking method in glass flume based on image processing technology
    Du, Hai
    Li, Muguo
    Meng, Juan
    ADVANCES IN ENGINEERING SOFTWARE, 2017, 112 : 117 - 123
  • [42] A comparison of image analysis techniques for defect detection in food processing applications
    Brosnan, TM
    Daley, W
    OPTICS IN AGRICULTURE, FORESTRY, AND BIOLOGICAL PROCESSING II, 1996, 2907 : 186 - 194
  • [43] Fabric Defect Detection Using Local Homogeneity and Morphological Image Processing
    Rebhi, A.
    Abid, S.
    Fnaiech, F.
    2016 SECOND INTERNATIONAL IMAGE PROCESSING, APPLICATIONS AND SYSTEMS (IPAS), 2016,
  • [44] System development for orange surface defect detection using image processing
    Rerkratn, Apinai
    Cheypoca, Thepjit
    Kaewpoonsuk, Anucha
    Kamsri, Thawatchai
    ICIC Express Letters, Part B: Applications, 2015, 6 (04): : 1225 - 1230
  • [45] Applying Gabor Wavelet in Image Processing for Defect Detection on Steel plates
    Sadeghi, Mostafa
    Memarzadehzavareh, Faezeh
    Abedzadehzavareh, Mojtabaa
    INTERNATIONAL JOURNAL OF ADVANCED BIOTECHNOLOGY AND RESEARCH, 2016, 7 : 253 - 258
  • [46] Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study
    Wei, Xiukun
    Yang, Ziming
    Liu, Yuxin
    Wei, Dehua
    Jia, Limin
    Li, Yujie
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 80 : 66 - 81
  • [47] Defect measurement in CFRP drilling based on digital image processing
    Xuyan Zhang
    Wenjian Huang
    Chaoqun Wu
    Shiyu Cao
    The International Journal of Advanced Manufacturing Technology, 2023, 127 : 5405 - 5419
  • [48] Defect measurement in CFRP drilling based on digital image processing
    Zhang, Xuyan
    Huang, Wenjian
    Wu, Chaoqun
    Cao, Shiyu
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 127 (11-12): : 5405 - 5419
  • [49] Defect scanners in architectural glass processing
    Feuster, Rainer
    Glass International, 2014, 37 (01): : 51 - 53
  • [50] Welding defect detection based on local image enhancement
    Zhang Lin
    Zhang Yingjie
    Dai Bochao
    Chen Bo
    Li Yangfan
    IET IMAGE PROCESSING, 2019, 13 (13) : 2647 - 2658