基于显微CT影像的靶丸表面缺陷检测方法  

Surface defect detection method for capsule based on micro-CT image

作　　者：汤玉玲 赵庆贤 刘家铭 罗守华[1] Tang Yuling;Zhao Qingxian;Liu Jiaming;Luo Shouhua(School of Biological Science and Medical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]东南大学生物科学与医学工程学院,南京210096

出　　处：《强激光与粒子束》2024年第1期117-122,共6页High Power Laser and Particle Beams

基　　金：国家自然科学基金项目(61871126);江苏省重点研发计划项目(BE2022828)。

摘　　要：靶丸的内外表面缺陷分布对激光惯性约束聚变实验成功率及效率有重要影响,目前观测不透明靶丸的内表面仅有用X射线直接成像技术获取局部二维信息。运用显微CT实现靶丸三维成像,可得到靶丸内外全表面形貌信息;运用边缘检测、理想曲面拟合分割出缺陷区域,通过连通域分析对表面缺陷进行分块,并分别计算各区域的宽度、高度;运用体绘制方法交互绘制出了靶丸三维数据的立体效果,尤其突出了缺陷区域的彩色高度场效果,并通过虚拟切割观察靶丸内表面。基于该方法的靶丸内外表面缺陷观测技术,能识别大多数表面缺陷,且能较为准确地计算出缺陷尺寸参数,未识别出的缺陷通过体绘制可被观察到作为补充,为研究人员提供了良好的辅助分析手段。The distribution of defects on the inner and outer surfaces of the capsule has an important impact onthe success rate and efficiency of the laser inertial confinement fusion experiment.At present,the only way to observethe inner surface is to use direct X-ray imaging technology to obtain local two-dimensional information,while thispaper uses micro-CT to photograph the capsule to non-destructively obtain the full surface morphology information ofits inner and outer surfaces.On this basis,a technique is proposed for the observation of defects on the inner and outersurfaces of the capsule.First,the defect area was segmented by edge detection and ideal surface fitting.Then thedefects were divided into blocks by connected domain analysis,and the width and height of each area were calculatedseparately.In addition,a stereoscopic image of the capsule was interactively drawn using a volume rendering method,especially highlighting the colored height field in the defect areas and allowing the inner surface of the capsule to beobserved by virtual cutting.This method can identify most surface defects,and can calculate the defect size parametersmore accurately.Unidentified defects can be observed as a supplement through volume rendering,providingresearchers with a good aid for analysis.

关 键 词：三维分割 缺陷检测 ICF靶丸 显微CT 体绘制 

分 类 号：O434.12[机械工程—光学工程]