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
fDate :
6/1/1998 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
