Chinese Optics Letters, Volume. 20, Issue 7, 071101(2022)
In-situ laser-induced surface damage inspection based on image super-resolution and adaptive segmentation method
In-situ laser-induced surface damage inspection plays a key role in protecting the large aperture optics in an inertial confinement fusion (ICF) high-power laser facility. In order to improve the initial damage detection capabilities, an in-situ inspection method based on image super-resolution and adaptive segmentation method is presented. Through transfer learning and integration of various attention mechanisms, the super-resolution reconstruction of darkfield images with less texture information is effectively realized, and, on the basis of image super-resolution, an adaptive image segmentation method is designed, which effectively adapts to the damage detection problems under conditions of uneven illumination and weak signal. An online experiment was carried out by using edge illumination and the telescope optical imaging system, and the validity of the method was proved by the experimental results.
1. Introduction
A promising and controllable way of inertial confinement fusion (ICF) is to focus high-power lasers to compress and heat a fuel capsule (target) positioned at the center of a vacuum target chamber to achieve fusion ignition. In-situ inspection of laser-induced damage (LID) on optics plays an important role for these high-power laser systems[
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Fengdong Chen, Jingyang Sun, Qian Wang, Hongbo Zhu, Fa Zeng, Yueyue Han, Cheng Lu, Guodong Liu. In-situ laser-induced surface damage inspection based on image super-resolution and adaptive segmentation method[J]. Chinese Optics Letters, 2022, 20(7): 071101
Category: Imaging Systems and Image Processing
Received: Dec. 31, 2021
Accepted: Apr. 8, 2022
Published Online: Apr. 29, 2022
The Author Email: Fengdong Chen (chenfd@hit.edu.cn), Fa Zeng (cengfa@tsinghua.org.cn), Guodong Liu (lgd@hit.edu.cn)
