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A VISION SYSTEM FOR ONLINE WEAR DETECTION

Jianbo Zhang, Maarten Korsten, Paul Regtien
  • Abstract:
    Wear detection has traditionally restricted itself to offline study and measurement. In this paper a vision system for online monitoring and detection of wear is described. This system uses a video zoom microscope and a high-resolution monochrome camera to capture the image series of a moving surface under study. An algorithm based on multichannel filtering for the detection of wear patterns is presented. The wear patterns are extracted by filtering the acquired image using a Gabor filter bank with multiple narrow spatial frequency and orientation channels. Experiments show the feasibility and usefulness of the proposed vision system and detection method of wear patterns.
  • Keywords:
    Online wear detection
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  • DOI:
    _unreg_wc-2003.TC15-010

Event details:

  • IMEKO TC:
  • Event name:
    XVII IMEKO World Congress
  • Title:

    Metrology in the 3rd Millennium

  • Place:
    Dubrovnik, CROATIA
  • Time:
    22 June 2003 - 28 June 2003