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Spot detection based on the Hartmann subaperture

机译:基于Hartmann子孔径的点检测

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摘要

For large astronomical telescope system based on adaptive optics(AO), the correcting ability of the wavefront processor in real time is the critical factor to the target observation. However, when we are observing the faint-target, it will lead to the uneven energy distribution of the spot in the Hartmann sensor, even no spots in some of the sub-apertures. However, whether to control the adaptive optical system to close loop is mainly dependent upon the distribution of spot in the microlens of Hartmann sensor, so it is necessary to detect the existence of the sub-spot in the Hartmann sub-aperture. This paper presents an improved approach based on template matching and threshold processing to detect the sub-spot, it could judge whether there is spot in sub-aperture self-adaptively, then, we provide an intelligence foundation for adaptive optical system. In this paper, not only do we give the detailed implementation of the detection algorithm, but also test it with the reality observed images. The experimental results have shown that the proposed approach in the paper could accurately detect whether there is spot in Hartmann sub-aperture.
机译:对于基于自适应光学(AO)的大型天文望远镜系统,波前处理器的实时校正能力是目标观测的关键因素。但是,当我们观察到微弱的目标时,它将导致Hartmann传感器中光斑的能量分布不均匀,甚至在某些子孔径中也没有光斑。然而,是否将自适应光学系统控制为闭环主要取决于Hartmann传感器微透镜中光斑的分布,因此有必要检测Hartmann子孔径中是否存在该子光斑。本文提出了一种改进的基于模板匹配和阈值处理的亚光斑检测方法,可以自适应地判断亚光斑中是否存在光斑,从而为自适应光学系统提供智能基础。在本文中,我们不仅给出了检测算法的详细实现,而且还用实际观察到的图像对其进行了测试。实验结果表明,本文提出的方法可以准确地检测出Hartmann子孔径中是否存在斑点。

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