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LAMOST(大天区多目标光纤光谱天文望远镜)要求通过非接触测量快速准确地获得光纤端部的中心位置。在研究光斑中心提取技术的过程中,提出了一种改进的光重心方法,包括图像卷积预处理、用标准差迭代的方法取背景值和减背景后非线性加权获得光斑特征点。有效地抑制了边缘点对中心位置的影响,提高了在大视场多目标光纤条件下提取光斑特征点的精度,并通过数据模拟、实验室和现场实验进行了验证。
The LAMOST (Large Sky Region Multi-Target Fiber Spectroscopic Astronomical Telescope) requires fast and accurate centering of the fiber end by non-contact measurement. In the process of studying the spot center extraction technique, an improved method for the optical center of gravity is proposed, which includes image preconditioning, feature point iteration with standard deviation and non-linear weighted background subtraction. The influence of the edge point on the center position is effectively suppressed, the accuracy of spot feature point extraction in the multi-objective optical fiber with large field of view is improved, and the verification is carried out by data simulation, laboratory and field experiments.