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An optimization method for improving the accuracy of centroid computation based on Shack-Hartmann wavefront sensor
Xiaoyu Zhang [1,2,3], Caixia Wang[1,2]
2017
Conference NameProceedings of SPIE: AOPC 2017: Optical Sensing and Imaging Technology and Applications
Source Publication0277-786X
Volume10462
Pages1046234
AbstractThe Shack-Hartmann wavefront sensor is widely used because of high light energy utilization and the simultaneous measurement of the optical wavefront phase distribution and intensity distribution. The accuracy of the centroid computation has a great influence on the detection accuracy of the Shack-Hartmann wavefront sensor. In this paper, a new method is proposed to improve the accuracy of centroid computation. This method include three steps. First of all, we use a new sliding template method to locate the spot automatically and obtain the approximate center of the spot. Next, we take an adaptive threshold method. After the processing of subtracting the threshold , we use the center of gravity(CoG) method to calculate the spot centroid. A series of simulations are conducted to verify the effectiveness and accuracy of this new method. Compared with the widely-used optimum threshold algorithm and the CoG method, the new algorithm not only enhances the accuracy of centroid computation but also has strong stability.
Keywordadaptive optics(AO),Shack-Hartmann wavefront sensor, centroid computation, threshold, CoG
Language英语
EI Classification Number2017-2151
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9019
Collection自适应光学技术研究室(八室)
Affiliation1.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu , Sichuan, China, 610209
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, China, 610209
3.University of Chinese Academy of Sciences, Beijing, China , 100049
Recommended Citation
GB/T 7714
Xiaoyu Zhang [1,2,3], Caixia Wang[1,2]. An optimization method for improving the accuracy of centroid computation based on Shack-Hartmann wavefront sensor[C],2017:1046234.
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