Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence
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 thresh...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Beilstein-Institut
2015-04-01
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| Series: | Beilstein Journal of Nanotechnology |
| Subjects: | |
| Online Access: | https://doi.org/10.3762/bjnano.6.98 |
| _version_ | 1818212657884299264 |
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| author | Yuliang Wang Huimin Wang Shusheng Bi Bin Guo |
| author_facet | Yuliang Wang Huimin Wang Shusheng Bi Bin Guo |
| author_sort | Yuliang Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T05:51:53Z |
| format | Article |
| id | doaj.art-69da03f3ef1244908b8c1e88e382ba07 |
| institution | Directory Open Access Journal |
| issn | 2190-4286 |
| language | English |
| last_indexed | 2024-12-12T05:51:53Z |
| publishDate | 2015-04-01 |
| publisher | Beilstein-Institut |
| record_format | Article |
| series | Beilstein Journal of Nanotechnology |
| spelling | doaj.art-69da03f3ef1244908b8c1e88e382ba072022-12-22T00:35:40ZengBeilstein-InstitutBeilstein Journal of Nanotechnology2190-42862015-04-016195296310.3762/bjnano.6.982190-4286-6-98Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescenceYuliang Wang0Huimin Wang1Shusheng Bi2Bin Guo3School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, P.R. ChinaDepartment of Materials Science and Engineering, The Ohio State University, 2041 College Rd., Columbus, OH 43210, USASchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, P.R. ChinaSchool of Material Science and Engineering, Harbin Institute of Technology, Harbin, 150001, P.R. ChinaNanobubbles (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.https://doi.org/10.3762/bjnano.6.98atomic force microscopycharacterizationcoalescencenanobubblessegmentation |
| spellingShingle | Yuliang Wang Huimin Wang Shusheng Bi Bin Guo Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence Beilstein Journal of Nanotechnology atomic force microscopy characterization coalescence nanobubbles segmentation |
| title | Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence |
| title_full | Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence |
| title_fullStr | Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence |
| title_full_unstemmed | Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence |
| title_short | Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence |
| title_sort | automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence |
| topic | atomic force microscopy characterization coalescence nanobubbles segmentation |
| url | https://doi.org/10.3762/bjnano.6.98 |
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