Zuo, Qin and Geng, Yong and Shen, Cheng and Tan, Jiubin and Liu, Shutian and Liu, Zhengjun (2020) Accurate angle estimation based on moment for multirotation computation imaging. Applied Optics, 59 (2). pp. 492-499. ISSN 1559-128X. doi:10.1364/ao.59.000492. https://resolver.caltech.edu/CaltechAUTHORS:20200130-160500144
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Abstract
In a multirotation computation imaging system, the fidelity of the reconstructed result is limited by the accuracy of the estimated rotation angles. Here, an accurate angle detection method using image moment is proposed to estimate angles of diffraction images. The second moment of a digital image is adopted as the rotational inertia in order to estimate angles of diffraction images. Compared with previous versions based on Radon/Hough transform, it has higher accuracy and is simultaneously time-saving, which is verified in both simulation and experiment. The angle error of moment method is narrowed down within 0.1°, or even less, and it also can perform well in sample diversity or when slightly out of focus.
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| Additional Information: | © 2020 Optical Society of America. Received 1 October 2019; revised 27 November 2019; accepted 2 December 2019; posted 3 December 2019 (Doc. ID 379231); published 9 January 2020. The authors are indebted to two reviewers for helpful comments and suggestions. Funding: National Natural Science Foundation of China (61575055, 61575053, 11874132, 61975044). The authors declare no conflicts of interest. | ||||||||||
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| Issue or Number: | 2 | ||||||||||
| DOI: | 10.1364/ao.59.000492 | ||||||||||
| Record Number: | CaltechAUTHORS:20200130-160500144 | ||||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200130-160500144 | ||||||||||
| Official Citation: | Qin Zuo, Yong Geng, Cheng Shen, Jiubin Tan, Shutian Liu, and Zhengjun Liu, "Accurate angle estimation based on moment for multirotation computation imaging," Appl. Opt. 59, 492-499 (2020) | ||||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||
| ID Code: | 101019 | ||||||||||
| Collection: | CaltechAUTHORS | ||||||||||
| Deposited By: | Tony Diaz | ||||||||||
| Deposited On: | 31 Jan 2020 00:39 | ||||||||||
| Last Modified: | 16 Nov 2021 17:58 |
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