摘要
大口径天文望远镜传递的影像信息是人们认识与了解宇宙的重要手段,因此大口径望远镜面形质量的好坏决定了系统的分辨率。本文介绍了检测大口径光学元件面形的一种方法,即子孔径拼接检测方法。首先分别检测元件各个子孔径的面形数据,最后通过影像处理算法复原面形信息。利用MATLAB软件进行了子孔径拼接算法的仿真,复原抛物面元件的面形。提出了利用数字影像处理和立体视觉影像的方法提高检测面形的精确度。展望了拼接后得到的面形的影像处理算法仍需考虑的因素,对后续研究提出新的挑战。
Image information transferred from large diameter telescope is an important means for people to know and understand the universe.The resolution of large diameter telescope system is determined by the quality of surface profile.This paper describes a method for detecting large aperture surface profile of optical element,namely stitching detection methods.First surface data of each subaperture is got from the detected element,respectively.Then image processing algorithm is used to reconstruct the surface shape information.The face profile of a parabolic component is reconstructed by using stitching algorithm with MATLAB software.Digital image processing and three-dimensional visual image method are presented to improve the accuracy of surface profile detection.Finally,for the surface shape image processing,algorithms were made after spliced prospect.The considerations for further stitching algorithm are prospected,which put forward new challenges for sequential studies.
出处
《影像科学与光化学》
CAS
CSCD
北大核心
2016年第1期88-94,共7页
Imaging Science and Photochemistry
基金
国家自然科学基金项目(61308075)
北京市自然科学基金项目(2132047
4144083)资助
关键词
子孔径
非球面
影像处理
最小二乘拟合
subaperture
aspheric surface
image processing
least squares fitting
