• DocumentCode
    1470988
  • Title

    Adaptive filtering of white-light interferometry fringe patterns

  • Author

    Rizk, Madiha Sabry ; Romare, Dario ; Grattan, Kenneth T V ; Palmer, Andrew W.

  • Author_Institution
    Dept. of Electr. Electron. & Inf. Eng., City Univ., London, UK
  • Volume
    47
  • Issue
    3
  • fYear
    1998
  • fDate
    6/1/1998 12:00:00 AM
  • Firstpage
    782
  • Lastpage
    788
  • Abstract
    Tests are carried out of an on-line adaptive filtering scheme based on the least-mean-square (LMS) algorithm and are specifically aimed at enhancing the performance of fringe order identification in white-light interferometry (WLI) over a wide range of signal-to-noise ratios (SNR´s). Additional capability is also provided in accurately pinpointing the central fringe with a minimum resolution of 1/13 of a fringe width anywhere over the middle 1000 pixels of a 1024-pixel CCD array. Computer simulations and subsequent measurements have demonstrated the superiority of this scheme over the less efficient centroid-based method previously reported
  • Keywords
    adaptive filters; least mean squares methods; light interferometry; optical filters; CCD array; computer simulation; fringe pattern; least mean square algorithm; on-line adaptive filtering; signal-to-noise ratio; white light interferometry; Adaptive filters; Charge coupled devices; Digital signal processing; Filtering algorithms; Optical filters; Optical interferometry; Optical sensors; Optical signal processing; Signal to noise ratio; Temperature sensors;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.744350
  • Filename
    744350