周伟

个人信息Personal Information

教授

博士生导师

硕士生导师

教师英文名称:David Zhou

教师拼音名称:zhouwei

出生日期:1982-09-08

入职时间:2013-01-14

所在单位:极端流动力能前沿科学中心

职务:实验室副主任

学历:博士研究生毕业

办公地点:中南大学铁道校区高速列车研究中心203办公室

性别:男

联系方式:联系电话:0731-82655294 Email: gszx_zhouwei@csu.edu.cn 或 zhou_wei000@126.com 或 124575608@qq.com

学位:工学博士学位

在职信息:在职

主要任职:博士生导师,学硕/ 专硕导师

其他任职:世界交通运输大会(WTC)轨道交通学部轨道交通装备系统科学“机车车辆”技术委员会 联合主席

毕业院校:中南大学

学科:交通运输工程

论文成果

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Branch point algorithm for structural irregularity determination of honeycomb

点击次数:

影响因子:7.635

DOI码:10.1016/j.compositesb.2018.10.062

发表刊物:COMPOSITES PART B-ENGINEERING

关键字:Branch point; honeycomb; vertex identification; Harris.

摘要:Recently, more and more attentions have been paid to structural defect suppression. In this study, branch point algorithm was first constructed for structural irregularity determination of honeycomb structure, so as to identify the geometric defect of similar cellular structures. Detailed principle and process were presented with key steps as image binarization, smoothing & noise suppression, skeletonization, vertex identification and cell reconstruction. A representative illustration was given. Afterwards, the routine difference has been discussed between the present method and classic Harris algorithm. Some examples in different cases were presented. As the findings turned out that, the branch point algorithm efficiently identifies the vertices of each cell with high precision, even in cases of poor images with low resolution. All these achievements pave a way for high standard honeycomb structure in consistency, reliability and homogeneity.

备注:JCR-Q1

论文类型:期刊论文

卷号:162

页面范围:323-330

是否译文:

发表时间:2018-10-18