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Optimum threshold selection method of centroid computation for Gaussian spot
Li, Xuxu1,2; Li, Xinyang1; Wang, Caixia1; Li, Xuxu (lixuxu188@163.com)
Volume9675
Pages967517
2015
Language英语
ISSN0277-786X
DOI10.1117/12.2199247
Indexed BySCI ; Ei
Subtype会议论文
AbstractCentroid computation of Gaussian spot is often conducted to get the exact position of a target or to measure wave-front slopes in the fields of target tracking and wave-front sensing. Center of Gravity (CoG) is the most traditional method of centroid computation, known as its low algorithmic complexity. However both electronic noise from the detector and photonic noise from the environment reduces its accuracy. In order to improve the accuracy, thresholding is unavoidable before centroid computation, and optimum threshold need to be selected. In this paper, the model of Gaussian spot is established to analyze the performance of optimum threshold under different Signal-to-Noise Ratio (SNR) conditions. Besides, two optimum threshold selection methods are introduced: TmCoG (using m % of the maximum intensity of spot as threshold), and TkCoG (usingμn+κσ n as the threshold), μnand σnare the mean value and deviation of back noise. Firstly, their impact on the detection error under various SNR conditions is simulated respectively to find the way to decide the value of k or m. Then, a comparison between them is made. According to the simulation result, TmCoG is superior over TkCoG for the accuracy of selected threshold, and detection error is also lower. © Copyright 2015 SPIE.; Centroid computation of Gaussian spot is often conducted to get the exact position of a target or to measure wave-front slopes in the fields of target tracking and wave-front sensing. Center of Gravity (CoG) is the most traditional method of centroid computation, known as its low algorithmic complexity. However both electronic noise from the detector and photonic noise from the environment reduces its accuracy. In order to improve the accuracy, thresholding is unavoidable before centroid computation, and optimum threshold need to be selected. In this paper, the model of Gaussian spot is established to analyze the performance of optimum threshold under different Signal-to-Noise Ratio (SNR) conditions. Besides, two optimum threshold selection methods are introduced: TmCoG (using m % of the maximum intensity of spot as threshold), and TkCoG (usingμn+κσ n as the threshold), μnand σnare the mean value and deviation of back noise. Firstly, their impact on the detection error under various SNR conditions is simulated respectively to find the way to decide the value of k or m. Then, a comparison between them is made. According to the simulation result, TmCoG is superior over TkCoG for the accuracy of selected threshold, and detection error is also lower. © Copyright 2015 SPIE.
Conference NameProceedings of SPIE - The International Society for Optical Engineering
Conference Date2015
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7834
Collection自适应光学技术研究室(八室)
Corresponding AuthorLi, Xuxu (lixuxu188@163.com)
Affiliation1. Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
2. University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Li, Xuxu,Li, Xinyang,Wang, Caixia,et al. Optimum threshold selection method of centroid computation for Gaussian spot[C],2015:967517.
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