• DocumentCode
    142261
  • Title

    The examination system of steel ball surface defect based on BP neural network

  • Author

    Xiumei Tian

  • Author_Institution
    Inst. of Inf. Eng. of NIT, Nanchang, China
  • Volume
    3
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    2061
  • Lastpage
    2064
  • Abstract
    In view of the steel ball examination domain particularity, the more effective neural network structure has been obtained through the theoretical analysis and the massive experiments. An algorithm of steel ball surface examination has been proposed based on the BP neural network in this paper. The images pre-treatment should improve the examination rate. Finally the examination system of steel ball is proposed based on neural network.
  • Keywords
    automatic optical inspection; backpropagation; feature extraction; neural nets; steel; BP neural network; examination rate improvement; image pretreatment; steel ball surface defect examination system; surface defect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6946286
  • Filename
    6946286