• DocumentCode
    2773679
  • Title

    Translational offset detection based on far-field intensity for grating tiling

  • Author

    Huang, Yanlong ; Fang, Zaojun ; De Xu ; Tan, Min ; Xia, Lan

  • Author_Institution
    State Key Lab. of Intell. Control & Manage. of Complex Syst., Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    7-10 Aug. 2011
  • Firstpage
    721
  • Lastpage
    726
  • Abstract
    The far-field intensity is detected from far-field image to estimate the piston distance between two gratings. The image processing algorithm includes projections along the horizontal and vertical directions, search for each focal spot´s centre, feature extraction and intensity computation. Each focal spot´s centre can be found with the projections. A self-growing method is used for feature extraction, where the threshold value depends on the gray value of each focal spot´s centre. For each focal spot, the sum of gray values within the relevant domain is taken to be its energy intensity. Furthermore, the energy ratio of left and main focal spots (or main and right focal spots) is computed. A formula that expresses the piston distance between two gratings as the function of the energy ratio is fitted with several measured points. Based on this formula, the piston distance is obtained for a new energy-ratio. Finally, the proposed method is verified with a series of experiments.
  • Keywords
    feature extraction; image processing; object detection; far-field image; far-field intensity; feature extraction; grating tiling; image processing; intensity computation; piston distance; translational offset detection; Diffraction; Diffraction gratings; Feature extraction; Fitting; Gratings; Pistons; Image processing; far-field intensity; focal spot; grating tiling; piston distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-8113-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2011.5985750
  • Filename
    5985750