基于权重的子孔径拼接优化算法研究

Global Optimization Algorithm of Sub-aperture Stitching Weight Coefficients

为了提高大口径光学元件面形拼接检测准确度,减少传统子孔径拼接算法带来的误差传递和积累,并在原有全局优化拼接算法的基础上引入权重系数,使全口径内各相邻子孔径之间的重叠区域达到最优匹配,使拼接误差最小化.利用该优化算法对平面进行了多孔径拼接仿真模拟,在此基础上对150mm口径的平面镜进行了实验,并提出基于图像边缘轮廓特征提取的子孔径定位新方法,分析了影响拼接误差的因素.仿真和实验结果均证明了基于权重的全局优化拼接算法的有效性和可行性.

In order to obtain the whole lens′precision surface information and reduce its errors transfer and accumulation,a new global optimization stitching algorithm based on weight coefficient is presented.The common region of the two neighborhood sub-aperture can reach the optimal match and the stitching error is minimized by using this algorithm.The multi-apertures stitching simulation is carried out,and an actual experiment is carried to the flat lens of 150mm.A new sub-aperture position method based on the image edge contour feature extraction is introduced and the error factors are analyzed for stitching.Both the simulation and the experiment results show that this global optimization stitching algorithm is good for reducing the transfer and accumulation error,which exist in the traditional method,and realizing the high precision sub-aperture stitching measurement.