Improved MDCFT-based method for estimating physical parameters from Newton's rings

Deming Shen; Mingfeng Lu; Jinmin Wu; Ruoqi Xing; Xiaoxin Xiong; Hongtao Wei; Saihui Fan; Feng Zhang; Ran Tao

doi:10.1117/12.2689228

31 July 2023 Improved MDCFT-based method for estimating physical parameters from Newton's rings

Deming Shen, Mingfeng Lu, Jinmin Wu, Ruoqi Xing, Xiaoxin Xiong, Hongtao Wei, Saihui Fan, Feng Zhang, Ran Tao

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 1274716 (2023) https://doi.org/10.1117/12.2689228
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

Newton's ring pattern is an typical interference fringe often encountered in optical measurements. The physical parameters, such as curvature radius, the ring's center can be estimated by analyzing it. Newton ring formed by spherical interference is two-dimensional Chirp signal, and its chirp parameters are almost impossible to be integers. However, the strict constraints of discrete Chirp Fourier transform (DCFT) and the existing discrete Modified Chirp Fourier transform (MDCFT) can only estimate the integer value part of parameter, which has a large recognition error. An improved MDCFT algorithm is proposed to further estimate the non-integer value part by using the object offset principle, thereby improving the estimation accuracy of Newton ring parameters. Experimental results verify the effectiveness and correctness of the proposed method.

Citation Download Citation

Deming Shen, Mingfeng Lu, Jinmin Wu, Ruoqi Xing, Xiaoxin Xiong, Hongtao Wei, Saihui Fan, Feng Zhang, and Ran Tao "Improved MDCFT-based method for estimating physical parameters from Newton's rings", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 1274716 (31 July 2023); https://doi.org/10.1117/12.2689228

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available