The Method for Calculating Optical Target Center of Weak Contrast Collimating Image in Integrated Diagnosis System | |
Wang, Zhengzhou![]() ![]() ![]() | |
2020 | |
会议名称 | Applied Optics and Photonics China (AOPC) Conference - Optical Sensing and Imaging Technology |
会议录名称 | AOPC 2020: OPTICAL SENSING AND IMAGING TECHNOLOGY |
卷号 | 11567 |
会议日期 | 2020-08-25 |
会议地点 | Xiamen, PEOPLES R CHINA |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
产权排序 | 1 |
摘要 | In the process of fast automatic alignment of optical path in the integrated diagnosis system of host laser facility, there are six kinds of different optical target images captured. Because of the different characteristics of optical target, different methods for calculating the center of optical target image must be put forward, which increases the algorithm complexity of calculating the optical target center. In order to improve the efficiency and accuracy of fast automatic alignment of laser beam in the integrated diagnosis system, it is necessary and important to propose a method that can calculate all kinds of optical center of collimating images. In this paper, based on the synthesis of the characteristics of pinhole image, schlieren sphere image and common optical target image, a general method for calculating the optical target center of weak contrast collimating image is proposed. Firstly, multi-dimensional image cubes are constructed by using multi time-sharing images or neighborhood vectors, and the dimension of multi-dimensional data cubes is reduced by using NVPCA transformation to remove the correlation between the various dimensional images, separate and readjust the noise of original image; Secondly, the one-dimensional image data is classified by Kmeans, and the binary image is processed by the mathematical morphology operation to separate the laser target and background respectively; Thirdly, if the optical target image is a schlieren image, it need to obtain the background of schlieren image, the region of schlieren sphere, the edge of schlieren sphere respectively; If the optical target image is a pinhole image, it need to obtain the characteristic points on the circle contour of the pinhole image; Finally, the least square method is used to calculate the circle center of the pinhole image and the schlieren sphere image, and the center of gravity method is used to calculate the center of optical target. The experimental results show that this paper synthesizes the same and different characteristics of all kinds of collimating images, proposes a method to calculate the optical target center of weak contrast collimating images, improves the calculation accuracy of the optical target center of collimating images (less than 1 pixel) effectively, shortens the fast alignment time of the optical path of the integrated diagnosis system, and provides an effective guarantee for the measurement experiment of far-field focal spot of high power laser based on schlieren method. |
关键词 | Integrated diagnosis system fast automatic alignment of optical path weak contrast image center of optical target Kmeans classification least square method circle fitting |
作者部门 | 先进光学仪器研究室 |
DOI | 10.1117/12.2575512 |
收录类别 | CPCI |
ISBN号 | 978-1-5106-3956-0 |
语种 | 英语 |
ISSN号 | 0277-786X;1996-768X |
WOS记录号 | WOS:000651815600022 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/94785 |
专题 | 先进光学仪器研究室 |
通讯作者 | Wang, Zhengzhou |
作者单位 | Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Zhengzhou,Wang, Li,Tan, Meng,et al. The Method for Calculating Optical Target Center of Weak Contrast Collimating Image in Integrated Diagnosis System[C]:SPIE-INT SOC OPTICAL ENGINEERING,2020. |
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