基于影像处理的子孔径拼接算法研究

doi:10.7517/j.issn.1674-0475.2016.01.088

影像科学与光化学 ›› 2016, Vol. 34 ›› Issue (1): 88-94.DOI: 10.7517/j.issn.1674-0475.2016.01.088

基于影像处理的子孔径拼接算法研究

邹凯旋^1,2, 冯云鹏^1,2, 王钟³

1. 北京理工大学光电学院光机电联合研究中心, 北京 100081;
2. 北京理工大学深圳研究院, 广东深圳 518057;
3. 深圳市博瑞汇达科技有限公司, 广东深圳 518057

收稿日期:2015-10-23 修回日期:2015-11-10 出版日期:2016-01-15 发布日期:2016-01-15
通讯作者: 冯云鹏
基金资助:
国家自然科学基金项目(61308075)和北京市自然科学基金项目(2132047,4144083)资助

Research on Subaperture Stitching Algorithm Based on Image Processing

ZOU Kaixuan^1,2, FENG Yunpeng^1,2, WANG Zhong³

1. Joint Research Center for Optomechatronics Engineering, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, P. R. China;
2. Shenzhen Research Institute, Beijing Institute of Technology, Shenzhen 518057, Guangdong, P. R. China;
3. Boruihuida Science and Technology Ltd. Co., Shenzhen 518057, Guangdong, P. R. China

Received:2015-10-23 Revised:2015-11-10 Online:2016-01-15 Published:2016-01-15

摘要/Abstract

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。

关键词: 子孔径, 非球面, 影像处理, 最小二乘拟合

Abstract:

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.

Key words: subaperture, aspheric surface, image processing, least squares fitting

邹凯旋, 冯云鹏, 王钟. 基于影像处理的子孔径拼接算法研究[J]. 影像科学与光化学, 2016, 34(1): 88-94.

ZOU Kaixuan, FENG Yunpeng, WANG Zhong. Research on Subaperture Stitching Algorithm Based on Image Processing[J]. Imaging Science and Photochemistry, 2016, 34(1): 88-94.

参考文献

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基于影像处理的子孔径拼接算法研究

Research on Subaperture Stitching Algorithm Based on Image Processing

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