• DocumentCode
    3572150
  • Title

    A reference center extraction method for SG-II-UP CSF alignment control

  • Author

    Daijin Liu ; Wei Zou ; Feng Zhang ; De Xu

  • Author_Institution
    Inst. of Autom., Beijing, China
  • fYear
    2014
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    Aimed that the image applied in CSF(Cavity Spatial Filter)auto-alignment control of SG-II-UP(Shenguang II Laser Upgraded Device) is blurred with uneven light radiation and has many scattered reference points, a novel algorithm of reference center extraction is proposed in this paper, which is based on position estimation and gradient extremum search. Firstly, all the reference points are determined as clear or obscure by simple threshold method. Then the clear reference points are applied to predict the position of obscure ones and guide to realize local threshold optimizing search. Finally, some edge pixels lying on the edge of reference points are precisely extracted out by gradient extremum search and the reference centers are computed out by ellipse fitting. The proposed method not only ensures the reliable and precise extraction of all the reference points, but also shrinks the processing range and shortens processing time-consuming. Experiments on the SG-II-UP CSF images showed that the method has the features of speed, accuracy and stability, and can be applied in alignment control reliably.
  • Keywords
    gradient methods; optimal control; position control; SG-II-UP CSF autoalignment control; SG-II-UP CSF images; Shenguang II laser upgraded device; cavity spatial filter autoalignment control; edge pixels; ellipse fitting; gradient extremum search; light radiation; local threshold optimizing search; position estimation; reference center extraction method; reference centers; scattered reference points; simple threshold method; Data mining; Estimation; Feature extraction; Laser beams; Laser stability; Reliability; Tuning; SG- II -UP; gradient extremum search; position prediction; reference point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7052689
  • Filename
    7052689