典型文献
In-situ laser-induced surface damage inspection based on image super-resolution and adaptive segmentation method
文献摘要：
In-situ laser-induced surface damage inspection plays a key role in protecting the large aperture optics in an inertial con-finement 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.
文献关键词：
中图分类号：
作者姓名：
Fengdong Chen;Jingyang Sun;Qian Wang;Hongbo Zhu;Fa Zeng;Yueyue Han;Cheng Lu;Guodong Liu
作者机构：
Instrument Science and Technology,Harbin Institute of Technology,Harbin 150001,China;Research Center of Laser Fusion,China Academy of Engineering Physics,Mianyang 621900,China
文献出处：
引用格式：
[1]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].中国光学快报（英文版）,2022(07):7-12
A类：
darkfield
B类：
In,situ,laser,induced,surface,damage,inspection,super,resolution,adaptive,segmentation,method,plays,key,role,protecting,large,aperture,optics,inertial,finement,fusion,ICF,high,power,facility,order,improve,initial,detection,capabilities,presented,Through,transfer,learning,integration,various,attention,mechanisms,reconstruction,images,less,texture,information,effectively,realized,basis,designed,which,adapts,problems,under,conditions,uneven,illumination,weak,signal,An,online,was,carried,out,by,using,edge,telescope,optical,imaging,system,validity,proved,experimental,results
AB值：
0.556295
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