本文分析了光斑质心的探测误差，提出了一种提高哈特曼波前传感器光斑质心精度的算法，该算法采用与光斑匹配的探测窗口，并用插值法提高图像的分辨率，最后使用二阶矩算法进行质心位置计算。采用该算法对含有噪声的光斑图进行图像处理与计算，结果表明，该算法相对于传统算法在质心的探测精度上提高了约 0.8 倍，并给出了待测件的波前重构示意图。 This paper analyzes the detection error of the centroid of the spot and proposes an algorithm to improve the centroid accuracy of the Hartman wavefront sensor spot. The algorithm uses a detection window matching with the spot and uses the interpolation method to improve the resolution of the image. Finally, The algorithm calculates the centroid position. The algorithm is used to process and calculate the speckle pattern with noise. The results show that the proposed algorithm improves the detection accuracy of the centroid by about 0.8 times compared with the traditional algorithm and gives the schematic diagram of wavefront reconstruction of the DUT.