在Hartmann-Shack 波前傳感器中，圖像閾值的選取對質心探測精度有較大的影響。根據
模式識別理論，提出一種適用于Hartmann-Shack 波前傳感器圖像閾值選取的新方法— — 基于類別方差的自適應門限方法。實驗結果表明，本方法在Hartmann-Shack 波前傳感器圖像信噪比大于3 時，能夠比較有效地自動選取每幀圖像的閾值。
主題詞: 波前傳感器；閾值選取；自適應光學
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 method?adaptive 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