摘要
针对惯性约束聚变(ICF)终端光学元件的高精度在线检测,提出了一种基于图像拼接的检测方法。该方法主要包含图像配准及图像融合两个部分。在图像配准部分,采用基于局部损伤点特征匹配的方法来解决在线检测图像中信息过少,以及子图像间存在曝光差异的问题,并将检测系统的运动信息应用到配准过程中,提高了检测精度及效率。在图像融合部分,采用泊松融合的方法来消除曝光不均匀所产生的"拼接线",实现了检测图像的"无缝拼接"。用本文算法与尺度不变特征变换(SIFT)算法对ICF终端光学元件在线检测(Final Optics Online Inspection,FOOI)图像进行了实验对比,结果表明,本文提出的图像配准方法优于SIFT算法。通过4×4方式得到的拼接图像显示,本文方法可以大幅度提高ICF系统中FOOI装置的检测分辨率。
A high precision inspection method based on image mosaic was proposed for the final optics inspection in an Inertial Confinement Fusion （ICF）. The image mosaic method contains image regis- tration stage and image fusion stage. In the image registration stage, a registration method based on feature matching of local damaged area was used to overcome the exposure difference between the sub- images and the lack of image information, and the moving information in the inspection system was used in image matching to improve the inspection precision and inspection efficiency. In the image fu- sion stage, the Poisson image fusion was adopted to eliminate the ＂stitching line＂ caused by an expo- sure difference and to implement the seamless mosaic. The images of final optics inspected by Final Optics Online Inspection （FOOI） was compared with the proposed method and Scale Invariant Feature Transform（SIFT） method,and the results show that the proposed method is superior od. The 4X 4 mosaic image shows that the inspection resolution of the FOOI device been improved significantly by proposed method. to SIFT meth- in the ICF has
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2014年第3期555-561,共7页
Optics and Precision Engineering
基金
国家自然科学基金资助项目(No.51275120
No.61275096)
航空科学基金资助项目(No.20120177004)
中央高校基本科研业务费专项资金资助项目(No.HIT.NSRIF.2013012)
关键词
惯性约束聚变
终端光学元件
在线检测
图像拼接
泊松融合
Inertial Confinement Fusion （ICF）
final optics
on-line inspection
image mosaic
Poisson fusion
