摘要
针对传统的光斑质心测量方法子孔径窗口内远离光斑的噪声对一阶矩质心算法的影响,本文提出一种利用图像处理技术提高光斑质心探测精度的新方法。在哈特曼-夏克(H-S)波前传感器测得的光斑阵列图像中,采用自适应阈值方法优化每个子孔径的探测窗口,使探测窗口和光斑分布区域最佳匹配;然后在探测窗口内,采用线性插值方法提高图像的分辨率,使测得的光斑图像更接近于原始图像,并平滑了图像噪声,从而提高传感器的探测精度。仿真实验结果表明,和传统方法相比,新方法提高了光斑质心测量的探测精度、重复性和稳定性。
A new method for enhancing the detection accuracy of the eentroid of focal spot is put forward based on the image procesing techniques. After the Hartmann-Shark （H-S） wavefront sensor gets a series of focal spot array images, the subaperture detection windows are optimized by the adaptive threshold method for the optimum matching between the detection windows and the corresponding focal spots distribution areas and then the linear interpolation is used in the detection windows for higher precision image which is more similar to the original image. Furthermore, the image noise in the detection window is smoothed, so the detection accuracy of the sensor is improved. The experimental results demonstrate that the precision,repeatability and stability of focal spot centroid measurement by the proposed method are better than the results obtained via the traditional centroid methods.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2011年第10期1542-1545,共4页
Journal of Optoelectronics·Laser
基金
国家"863"计划资助项目(2008AA7080304)
