• DocumentCode
    3001350
  • Title

    Digital image processing techniques applied in cable insulation parameters measurement

  • Author

    Fan, Chun-ling ; Zou, Li-jun ; Wang, Yan-Hai

  • Author_Institution
    Coll. of Autom. & Electr. Eng., Qingdao Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    2315
  • Lastpage
    2319
  • Abstract
    The issue is mainly directed against the research of testing and measuring the thickness and diameter of cable insulation layer. The paper starts with designing a cable insulation parameters measurement system based on digital image processing in which image denoising and edge detection are completed through software programming. Total variant denoising method is used in the process of image denoising. In order to detect edge well, binary morphology operator is used. Finally the diameter and thickness of cable insulation layer can be calculated by using the edge feature extracted. The measurement system has many advantages such as more simple operation, higher degree of automation, higher precision, etc. From the measurement result, we can conclude that the measurement system designed has higher practical value.
  • Keywords
    cable insulation; edge detection; electrical engineering computing; feature extraction; image denoising; mathematical operators; binary morphology operator; cable insulation parameters measurement; digital image processing; edge detection; edge feature extraction; image denoising; software programming; Cable insulation; Digital images; Feature extraction; Image denoising; Image edge detection; Insulation testing; Morphology; Noise reduction; Software measurement; Thickness measurement; Image processing; cable insulation layer; geometric parameters; measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636553
  • Filename
    4636553