Pore Segmentation Methods Based on Gray Scale of Scanning Electron Microscopy Images

Yu WANG; Chan JIN; Li-hua WANG; Jian-qiang WANG; Zheng JIANG; Yan-fei WANG

doi:10.15898/j.cnki.11-2131/td.2016.06.005

2016 Vol. 35, No. 6

Article Contents

Article navigation > Rock and Mineral Analysis > 2016 > 35(6): 595-602

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Yu WANG, Chan JIN, Li-hua WANG, Jian-qiang WANG, Zheng JIANG, Yan-fei WANG. Pore Segmentation Methods Based on Gray Scale of Scanning Electron Microscopy Images[J]. Rock and Mineral Analysis, 2016, 35(6): 595-602. doi: 10.15898/j.cnki.11-2131/td.2016.06.005

Citation:

Yu WANG, Chan JIN, Li-hua WANG, Jian-qiang WANG, Zheng JIANG, Yan-fei WANG. Pore Segmentation Methods Based on Gray Scale of Scanning Electron Microscopy Images[J]. Rock and Mineral Analysis, 2016, 35(6): 595-602. doi: 10.15898/j.cnki.11-2131/td.2016.06.005

Pore Segmentation Methods Based on Gray Scale of Scanning Electron Microscopy Images

1.
Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
2.
Shanghai Synchrotron Radiation Facility, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, China
3.
Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

More Information

Corresponding author: Li-hua WANG, lhwang@sinap.ac.cn

Received Date: 23 May 2016

Revised Date: 19 August 2016

Accepted Date: 30 August 2016

Abstract

Abstract

Microscopic pore structures of shale are the basis for investigating the adsorption and migration mechanism of shale gas and building a geological model. Ar ion milling combined with Scanning Electron Microscopy (SEM) is the main technique for analyzing microscopic pore structures of shale. However, previous research focused mainly on pore classification and lacked insufficient studies on the quantitative characteristics of pore structures. In order to conduct quantitative research on pore structures and improve the quality of pore segmentation, edge detection, watershed, auto and manual thresholding methods were used in this study to perform segmentation of mineral matrix pore and organic matter pore based on SEM images. By comparing results obtained from all of these methods, the conclusion drawn was that the manual thresholding method could reflect pores with diameters larger than 1 nm and identify the organic matter, pores and brittle minerals accurately by selecting a suitable segmentation thresholding value, guaranteeing the analysis to be closer to the true states. The proposed method provides a more effective method for quantitative analyses of shale pore structures.
- organic rich shale /
- SEM image /
- pore segmentation /
- threshold method

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References

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