• DocumentCode
    2793182
  • Title

    Image de-noise research on switching arc acquisition system

  • Author

    Wang, Jing-hong ; Liu, Li-na ; Yue, Da-wei ; Liu, Jiao-min

  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2894
  • Lastpage
    2898
  • Abstract
    Research on the switching arc motion is important for the improvement of low voltage apparatus. But the arcing time is very short in the operation of switchgear under real situation. In order to observe and analyze the whole process of arcing, the thesis presents a kind of visual simulation method based on arc image. Because of the strong radiation of arc, the weak reflection of contacts, and the shake of apparatus due to the impact of mechanical motion, the arc image was affected by noise during the process of switching arc image acquisition. In order to avoid the drawbacks, and to provide a clear arc image, a new type of mapping function is introduced in de-noise process which can get threshold from different scales and directions, based on the wavelet transform theory. Experiment result shows that the processed image with a good vision effect was obtained, and for showing the shape of arc more clearly.
  • Keywords
    arcs (electric); digital simulation; electrical engineering computing; image denoising; stereo image processing; switchgear; wavelet transforms; apparatus shake; arc radiation; arc shape; arcing process; binocular stereo vision; contact reflection; image denoising; image processing; low voltage apparatus; mapping function; mechanical motion; switchgear operation; switching arc image acquisition system; switching arc motion; vision effect; visual simulation method; wavelet transform; Charge coupled devices; Delay effects; Image analysis; Image resolution; Machine learning; Ocean temperature; Rough surfaces; Sea surface; Surface morphology; Surface roughness; Arc; Binocular Stereo Vision; Image De-noise; Parallax; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620902
  • Filename
    4620902