中国激光, 2009, 36 (11): 3035, 网络出版: 2009-11-11
一种新的惯性约束聚变用靶在线监测技术
A Novel Inertial-Confinement-Fusion Targets Position On-Line Monitoring Method
惯性约束聚变 尺度恒定特征变换 图像匹配 亚像素 靶定位 inertial-confinement-fusion seale invariant feature transform image matching sub-pixel target positioning
摘要
为了实现惯性约束聚变(ICF)用靶的高精度定位,需要对靶的位姿进行监测。传统的视觉监测方法对照明、靶姿态等非常敏感,常需要人工参与判别。将尺度恒定特征变换(SIFT)算法引入到ICF靶监测领域,实现一种基于SIFT特征匹配的ICF用靶在线监测方法,实验表明采用该方法对靶位姿的监测精度可达到平移精度优于6 μm,转角精度优于0.5′。
Abstract
A precise pose monitor is required for high precision target positioning in inertial-confinement-fusion (ICF) experiments. Conventional visual monitoring methods are sensitive to illumination and target pose and often need artificial judgment. This paper introduces seale invariant feature transform (SIFT) algorithm into ICF target monitoring domain and implements an on-line target monitoring method based on SIFT features matching. The experimental results of an on-line setting demonstrate that the translational and angle accuracy are better than 6 μm and 0.5′,respectively.
冯斌, 陈凤东, 李富全, 王礼全, 刘国栋. 一种新的惯性约束聚变用靶在线监测技术[J]. 中国激光, 2009, 36(11): 3035. Feng Bin, Chen Fengdong, Li Fuquan, Wang Liquan, Liu Guodong. A Novel Inertial-Confinement-Fusion Targets Position On-Line Monitoring Method[J]. Chinese Journal of Lasers, 2009, 36(11): 3035.