• DocumentCode
    2072601
  • Title

    Line Extraction with Composite Background Subtract

  • Author

    Deng, H. ; Tian, X. ; Yamazaki, K. ; Mori, M.

  • Author_Institution
    University of California, Davis
  • fYear
    2006
  • fDate
    07-09 June 2006
  • Firstpage
    69
  • Lastpage
    69
  • Abstract
    This paper presents a line extraction method to process images taken inside a machine tool. Instead of using real background images, our approach utilizes a virtual background image. This approach solves the problem of absence of real background images due to a dynamic background. In order to only extract lines of the object, all corners are detected from the real image first. Then, those corners generated from the background are filtered through composite background subtraction. Afterwards, a hypothesis of a line exists between any two corners is made. All the hypothetical lines are mapped back to the original real image to test for their existence. Those lines caused by noises, such as reflections or scratches, can be then eliminated. Our experimental results prove the feasibility and effectiveness of this proposed method..
  • Keywords
    Acoustic reflection; Computational modeling; Computer vision; Machine tools; Manufacturing industries; Object detection; Robot vision systems; Robotic assembly; Service robots; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2006. The 3rd Canadian Conference on
  • Print_ISBN
    0-7695-2542-3
  • Type

    conf

  • DOI
    10.1109/CRV.2006.47
  • Filename
    1640424