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https://doi.org/10.1117/12.970532
Title: | Micro-profile measurement of a transparent coating using windowed Fourier transform in white-light vertical scanning interferometry | Authors: | Ma, S. Quan, C. Zhu, R. Chen, L. |
Keywords: | Micro-profile measurement Transparent coating White-light vertical scanning interferometry Windowed Fourier Transform |
Issue Date: | 2012 | Citation: | Ma, S., Quan, C., Zhu, R., Chen, L. (2012). Micro-profile measurement of a transparent coating using windowed Fourier transform in white-light vertical scanning interferometry. Proceedings of SPIE - The International Society for Optical Engineering 8417 : -. ScholarBank@NUS Repository. https://doi.org/10.1117/12.970532 | Abstract: | Owing to free of the phase ambiguity problem, white-light vertical scanning interferometry (WLVSI) is commonly used to inspect surface profiles of objects, especially for the micro-profile measurement of microelectromechanical systems (MEMS) devices. Although numerous algorithms have been proposed for the white-light interference signal analysis, most of them focused only on test objects with a single reflective surface. In this paper, a technique to measure the micro-profile of a transparent coating using windowed Fourier transform in WLVSI is described. A windowed Fourier filtering (WFF) operation is first adopted to roughly estimate the local peak positions of a recorded interference signal. Subsequently a least-square estimation based on the retrieved phase values of a filtered signal is separately applied into previously extracted local peak positions to achieve more accurate micro-profile results. The thickness of the coating can be finally estimated by the retrieved reflective surfaces. Experimental works, conducted on a flat plate and a MEMS device with a transparent coating on its substrate, demonstrate the validity of the proposed method. © 2012 SPIE. | Source Title: | Proceedings of SPIE - The International Society for Optical Engineering | URI: | http://scholarbank.nus.edu.sg/handle/10635/73612 | ISBN: | 9780819490995 | ISSN: | 0277786X | DOI: | 10.1117/12.970532 |
Appears in Collections: | Staff Publications |
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