• DocumentCode
    3546852
  • Title

    An image segmentation algorithm of the bottom of batteries based on machine vision

  • Author

    Wenhua Hu ; Tian Dan

  • Author_Institution
    Res. Inst. Electron. Sci. & Technol., UESTC, Chengdu, China
  • Volume
    2
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    350
  • Lastpage
    352
  • Abstract
    At present, the technology of machine vision is gradually applied in various manufacturing industries. Battery, a greatly demanded product in the manufacturing industry, is taking use of the technology to inspect the surface defects. In order to improve the efficiency of detection and the effectiveness of the subsequent image processing algorithm in the machine vision system, this paper proposes a simple and accurate image segmentation algorithm, which can effectively and conveniently separate the effective region from the rough battery´s image. And it is been verified by experiments.
  • Keywords
    computer vision; image segmentation; manufacturing industries; secondary cells; image processing; image segmentation; machine vision; manufacturing industries; rough battery image; surface defects; Algorithm design and analysis; Batteries; Educational institutions; Image segmentation; Manufacturing; Object segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3050-0
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2013.6765354
  • Filename
    6765354