Paper
5 November 2020 The method for calculating optical target center of weak contrast collimating image in integrated diagnosis system
Author Affiliations +
Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 115670N (2020) https://doi.org/10.1117/12.2575512
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhengzhou Wang, Li Wang, Meng Tan, Yongquan Chen, Gang Li, Dongchi Yi, and Jitong Wei "The method for calculating optical target center of weak contrast collimating image in integrated diagnosis system", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 115670N (5 November 2020); https://doi.org/10.1117/12.2575512
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KEYWORDS
Optical spheres

Image enhancement

Image processing

Integrated optics

Image classification

System integration

Binary data

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