在Hartmann-Shack 波前传感器中,图像阈值的选取对质心探测精度有较大的影响。根据
模式识别理论,提出一种适用于Hartmann-Shack 波前传感器图像阈值选取的新方法— — 基于类别方差的自适应门限方法。实验结果表明,本方法在Hartmann-Shack 波前传感器图像信噪比大于3 时,能够比较有效地自动选取每帧图像的阈值。
主题词: 波前传感器;阈值选取;自适应光学
Abstract: In Hartmann-Shack wavefront sensor, the selection of image threshold will has a larger influence on centroid detecting accuracy. On the basis of the theory of pattern recognition, a new method¾adaptive threshold method based on classification variance that is suitable for selecting image threshold of a Hartmann-Shack wavefront sensor is proposed. The experimental results show that the method can effectively and automatically select the threshold of each frame image when image signal-to-noise ratio of the Hartmann-Shack sensor is larger than 3.
Key word: Wavefront sensor; Threshold selection; Adaptive optics
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