文献详情
Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence
文献类型期刊
作者Wang, Yuliang[1];Wang, Huimin[2];Bi, Shusheng[3];Guo, Bin[4]
机构
通讯作者Wang, YL (reprint author), Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China.
来源信息年:2015  卷:6  期:1  页码范围:952-963  
期刊信息BEILSTEIN JOURNAL OF NANOTECHNOLOGY影响因子和分区  ISSN:2190-4286
关键词atomic force microscopy; characterization; coalescence; nanobubbles; segmentation
增刊正刊
摘要Nanobubbles (NBs) on hydrophobic surfaces in aqueous solvents have shown great potential in numerous applications. In this study, the morphological characterization of NBs in AFM images was carried out with the assistance of a novel image segmentation method. The method combines the classical threshold method and a modified, active contour method to achieve optimized image segmentation. The image segmentation results obtained with the classical threshold method and the proposed, modified method were compared. With the modified method, the diameter, contact angle, and radius of curvature were automatically measured for all NBs in AFM images. The influence of the selection of the threshold value on the segmentation result was discussed. Moreover, the morphological change in the NBs was studied in terms of density, covered area, and volume occurring during coalescence under external disturbance.
收录情况SCIE(WOS:000352932300001)  EI(20152600985553)  PubMed(25977866)  
所属部门机械工程及自动化学院
DOI10.3762/bjnano.6.98
学科材料科学:综合;纳米科技;物理:应用
百度学术Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence
语言外文
被引频次3
人气指数86
浏览次数86
基金National Natural Science Foundation of China [51305019]; Beijing Natural Science Foundation [3144030]; Specialized Research Fund for the Doctoral Program of Higher Education [20131102120021]; China Postdoctoral Science Foundation [201104421, 20100471031]
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