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2 article(s) from Wang, Huimin

Automated image segmentation-assisted flattening of atomic force microscopy images

Yuliang Wang,
Tongda Lu,
Xiaolai Li and
Huimin Wang

Beilstein J. Nanotechnol. 2018, 9, 975–985, doi:10.3762/bjnano.9.91

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Figure 1: Schematic diagram of an AFM system and mechanism behind the distortion and artifacts present in AFM...

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Figure 2: Illustration of the proposed method for AFM image flattening. (a) Sketch of a simulated AFM height ...

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Figure 3: Demonstration of exclusion area extraction through image segmentation. (a) A raw AFM image with a c...

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Figure 4: Demonstration of polynomial-fitting-based flattening for an AFM image. (a) A raw AFM image with seg...

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Figure 5: Comparison of the three different flattening approaches. (a) A raw nanobubble (NB) AFM image with t...

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Figure 6: AFM image flattening with the sliding-window-based approaches. (a) A raw AFM height image with comp...

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Figure 7: Comparison of image flattening with different sizes of sliding windows in the sliding-window-based ...

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Figure 8: Influence of fitting direction on the flattened images. (a) and (c) are nanobubble images with vert...

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Figure 9: Morphological characterization of a standard AFM calibration grating with and without flattening. (...

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Figure 10: AFM image segmentation with flattened images. (a) A raw AFM image of nanobubbles (NBs) with artifac...

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Full Research Paper

Published 26 Mar 2018

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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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