• DocumentCode
    510295
  • Title

    A New Laser Collimating Method Based on Image Processing

  • Author

    Yuehuan, Lou ; He Ping´an

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Shanghai Univ. of Electr. Power, Shanghai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    452
  • Lastpage
    456
  • Abstract
    Aiming at the need of verticality and parallelity in the process of equipping elevator for high building. The method is in operation in which frosted glass are rayed by laser collimating beam brought with concentric circles interference fringes, the image can be captured by using CMOS sensor, and can be processed automatically when carried into computer by USB I/O. Based on Hough transform algorithm, the center of concentric circles diffraction fringes can be automatically acquired and tracked at quasi-real-time condition. The range is 128 × 96 mm2 which the circle diffraction fringe can be received, and the precision of center coordinates is about 1 or 2 pixels. It is proved that the method can greatly meet the need of building measurement, and that can be applied to all sorts of highly precise collimating measures.
  • Keywords
    CMOS image sensors; Hough transforms; edge detection; image segmentation; lifts; semiconductor lasers; CMOS sensor; Hough transform algorithm; USB I/O; cluster variance threshold segmentation algorithm; concentric circles diffraction fringes; concentric circles interference fringes; edge detection; elevator; image processing; laser collimating method; CMOS image sensors; CMOS process; Collimators; Diffraction; Elevators; Glass; Image processing; Interference; Laser beams; Universal Serial Bus; Circle diffraction fringes; Edge detection; Gradient direction; Hough Transform; Laser collimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.437
  • Filename
    5376752