Optimum parameters of image preprocessing method for Shack-Hartmann wavefront sensor in different SNR condition

Ping Wei; Xinyang Li; Xi Luo; Jianfeng Li

doi:10.1117/12.2315582

20 February 2018 Optimum parameters of image preprocessing method for Shack-Hartmann wavefront sensor in different SNR condition

Ping Wei, Xinyang Li, Xi Luo, Jianfeng Li

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Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 1069742 (2018) https://doi.org/10.1117/12.2315582
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

The centroid method is commonly adopted to locate the spot in the sub-apertures in the Shack-Hartmann wavefront sensor (SH-WFS), in which preprocessing image is required before calculating the spot location due to that the centroid method is extremely sensitive to noises. In this paper, the SH-WFS image was simulated according to the characteristics of the noises, background and intensity distribution. The Optimal parameters of SH-WFS image preprocessing method were put forward, in different signal-to-noise ratio (SNR) conditions, where the wavefront reconstruction error was considered as the evaluation index. Two methods of image preprocessing, thresholding method and windowing combing with thresholding method, were compared by studying the applicable range of SNR and analyzing the stability of the two methods, respectively.

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Ping Wei, Xinyang Li, Xi Luo, and Jianfeng Li "Optimum parameters of image preprocessing method for Shack-Hartmann wavefront sensor in different SNR condition", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069742 (20 February 2018); https://doi.org/10.1117/12.2315582

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KEYWORDS

Signal to noise ratio

Wavefront reconstruction

Device simulation

Wavefronts

Wavefront sensors

Error analysis

Image segmentation

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