title: An improved schlieren method for measurement and automatic reconstruction of the far-field focal spot.
abstract: The schlieren method of measuring far-field focal spots offers many advantages at the Shenguang III laser facility such as low cost and automatic laser-path collimation. However, current methods of far-field focal spot measurement often suffer from low precision and efficiency when the final focal spot is merged manually, thereby reducing the accuracy of reconstruction. In this paper, we introduce an improved schlieren method to construct the high dynamic-range image of far-field focal spots and improve the reconstruction accuracy and efficiency. First, a detection method based on weak light beam sampling and magnification imaging was designed; images of the main and side lobes of the focused laser irradiance in the far field were obtained using two scientific CCD cameras. Second, using a self-correlation template matching algorithm, a circle the same size as the schlieren ball was dug from the main lobe cutting image and used to change the relative region of the main lobe cutting image within a 100×100 pixel region. The position that had the largest correlation coefficient between the side lobe cutting image and the main lobe cutting image when a circle was dug was identified as the best matching point. Finally, the least squares method was used to fit the center of the side lobe schlieren small ball, and the error was less than 1 pixel. The experimental results show that this method enables the accurate, high-dynamic-range measurement of a far-field focal spot and automatic image reconstruction. Because the best matching point is obtained through image processing rather than traditional reconstruction methods based on manual splicing, this method is less sensitive to the efficiency of focal-spot reconstruction and thus offers better experimental precision.
authors.affiliation: School of Electronic & Information Engineering, Xi'an Jiaotong University, Xi'an, China.|University of Chinese Academy of Sciences, Beijing, China.|Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Science, Xi'an, China.
authors.forename: Zhengzhou
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Science, Xi'an, China.
authors.forename: Bingliang
authors.initials: B
authors.lastname: Hu
authors.affiliation: University of Chinese Academy of Sciences, Beijing, China.
authors.forename: Qinye
authors.initials: Q
authors.lastname: Yin
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated; D011856:Radiographic Image Enhancement / Q000295:instrumentation* / Q000379:methods*