OPT OpenIR  > 先进光学仪器研究室
A fast method for searching the best matching point of the automatic reconstruction of focal spot measurement using the steepest descent method
Wang, Zhengzhou; Wang, Yanchao; Li, Gang; Tan, Meng; Wang, Wei
2018
Conference NameInternational Symposium on Optoelectronic Technology and Application 2018: Optical Sensing and Imaging Technologies and Applications 2018, OTA 2018
Source PublicationOptical Sensing and Imaging Technologies and Applications
Volume10846
Conference Date2018-05-22
Conference PlaceBeijing, China
PublisherSPIE
Contribution Rank1
AbstractThe schlieren method was the most common method for measuring the far-field focal spot in high power laser facility. The reconstruction of far-field focal spot was used by manual and autocorrelation matching method usually. Although the problem of the automatic reconstruction of focal spot was solved by the autocorrelation matching method, it searched the best matching point in the whole region of the mainlobe cutting image, which would greatly reduce the efficiency of the reconstruction of far-field focal spot. To solve this problem, a fast method for searching the best matching point based on steepest descent method was proposed in this paper. Firstly, the mainlobe image and sidelobe image were cut into the mainlobe cutting image and sidelobe cutting image, which were named as cutzb and cutpb respectively, and the size of cutting images was 300∗300.Then a new image that a circle the same size as the schlieren ball was dug from cutzb image was named as cutzb', while cutzb' and cutpb were converted into two column vectors respectively, and the SAM values of the two vectors are calculated. Secondly, calculated the gradients of 8 neighborhoods of current pixel, the next searching position was the neighborhood located in the direction of the largest gradient (the largest decrease) of 8 neighborhoods while using the steepest descent method. After all the SAM values of the two vectors that met requirement were searched. The upper left corner of mainlobe cutting image was the best matching point when the SAM value was minimal. Finally, according to the best matching point, the far-field focal spot was merged by the mainlobe image and sidelobe image, and the weighted average method was applied to fuse the stitching area of the merged image. The experimental results show that the method can not only realize the automatic reconstruction of the measurement of far-field focal spot while using the schlieren method, but also greatly improve the efficiency of the reconstruction of the far-field focal spot, and realize the accurate measurement of the far-field focal spot in the high dynamic range. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Department先进光学仪器研究室
DOI10.1117/12.2503966
Indexed ByEI
ISBN9781510623347
Language英语
ISSN0277786X;1996756X
EI Accession Number20185206302285
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31114
Collection先进光学仪器研究室
Corresponding AuthorWang, Zhengzhou
AffiliationXi'an Institute of Optics and Precision Mechanics Chinese Academy of Science, NO.17 Xinxi Road, Xi'an; 710119, China
Recommended Citation
GB/T 7714
Wang, Zhengzhou,Wang, Yanchao,Li, Gang,et al. A fast method for searching the best matching point of the automatic reconstruction of focal spot measurement using the steepest descent method[C]:SPIE,2018.
Files in This Item:
File Name/Size DocType Version Access License
A fast method for se(681KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Zhengzhou]'s Articles
[Wang, Yanchao]'s Articles
[Li, Gang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Zhengzhou]'s Articles
[Wang, Yanchao]'s Articles
[Li, Gang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Zhengzhou]'s Articles
[Wang, Yanchao]'s Articles
[Li, Gang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.