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2 article(s) from Bi, Shusheng

Robust nanobubble and nanodroplet segmentation in atomic force microscope images using the spherical Hough transform

Yuliang Wang,
Tongda Lu,
Xiaolai Li,
Shuai Ren and
Shusheng Bi

Beilstein J. Nanotechnol. 2017, 8, 2572–2582, doi:10.3762/bjnano.8.257

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Figure 1: Segmentation of nanobubble AFM images using the thresholding method. (a) In a raw AFM image with a ...

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Figure 2: AFM height images of nanobubbles and nanodroplets. (a) and (d) are the polystyrene and HOPG surface...

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Figure 3: Sketch of the morphological characterization and AFM tip correction for nanobubbles and nanodroplet...

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Figure 4: Illustration of the proposed two-step nanobubble/nanodroplet (NB/ND) segmentation based on the sphe...

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Figure 5: Schematic diagram showing the principle of the spherical Hough transform. (a) Calculation of gradie...

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Figure 6: Demonstration of the spherical Hough transform detection of an nanobubble. (a) Gradient vector calc...

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Figure 7: Demonstration of contour expansion operation to obtain the optimized boundary detection for a nanob...

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Figure 8: Comparison of nanobubble detection in a raw AFM image with the (a) thresholding method, (b) circle ...

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Figure 9: Robustness of the proposed method in nanobubble image segmentation with uneven background. Nanobubb...

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Figure 10: Segmentation result for a NB (a) and ND (b) in AFM images using the proposed method. The scale bar ...

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Figure 11: Comparison of three different automated morphological characterization methods for nanobubbles. (a)...

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Figure 12: Automated morphological characterization of nanobubbles (NBs) and nanodroplets (NDs). (a) The heigh...

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Full Research Paper

Published 01 Dec 2017

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Automatic morphological characterization of nanobubbles with a novel image segmentation method and its application in the study of nanobubble coalescence

Yuliang Wang,
Huimin Wang,
Shusheng Bi and
Bin Guo

Beilstein J. Nanotechnol. 2015, 6, 952–963, doi:10.3762/bjnano.6.98

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Figure 1: Schematic diagram of the modified tip holder [6].

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Figure 2: Schematic of a cross section of a NB on a solid PS surface.

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Figure 3: Comparison of AFM images of a PS surface in air (a) and in DI water (b).

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Figure 4: Nanobubble image segmentation using the threshold method with the threshold values of 7.0 nm (a), 7...

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Figure 5: (a) 3D image of a selected NB. (b) Illustration of the NB cross section. (c) Field of gradient of t...

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Figure 6: Demonstration of NB image segmentation with the proposed method. (a) The procedure of the NB bounda...

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Figure 7: The proposed method is robust to the selection of the threshold value during contour initialization...

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Figure 8: Implementation of image segmentation for all NBs in an AFM image. (a) Mask image obtained using the...

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Figure 9: Morphological characterization of NBs detected with the proposed method. (a) Automated extraction o...

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Figure 10: Change in the number of NBs, covered area, and total volume in the same scanning area as a function...

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Figure 11: Sum of p_i∙V_i obtained with the threshold method and the proposed method for images shown in Figure 10a.

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Full Research Paper

Published 14 Apr 2015

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