数字钻孔图像兴趣区域分割与岩体结构面特征识别

夏丁; 葛云峰; 唐辉明; 王亮清; 邹宗兴; 苏雪雪

doi:10.3799/dqkx.2020.003

Volume 45 Issue 11

Nov. 2020

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Article Navigation > Earth Science > 2020 > 45(11): 4207-4217

Xia Ding, Ge Yunfeng, Tang Huiming, Wang Liangqing, Zou Zongxing, Su Xuexue, 2020. Segmentation of Region of Interest and Identification of Rock Discontinuities in Digital Borehole Images. Earth Science, 45(11): 4207-4217. doi: 10.3799/dqkx.2020.003

Citation:

Xia Ding, Ge Yunfeng, Tang Huiming, Wang Liangqing, Zou Zongxing, Su Xuexue, 2020. Segmentation of Region of Interest and Identification of Rock Discontinuities in Digital Borehole Images. Earth Science, 45(11): 4207-4217. doi: 10.3799/dqkx.2020.003

Citation:

Xia Ding, Ge Yunfeng, Tang Huiming, Wang Liangqing, Zou Zongxing, Su Xuexue, 2020. Segmentation of Region of Interest and Identification of Rock Discontinuities in Digital Borehole Images. Earth Science, 45(11): 4207-4217. doi: 10.3799/dqkx.2020.003

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Segmentation of Region of Interest and Identification of Rock Discontinuities in Digital Borehole Images

doi: 10.3799/dqkx.2020.003

Xia Ding^{1
,
,},
Ge Yunfeng¹,
Tang Huiming^{1, 2
,
,
,},
Wang Liangqing¹,
Zou Zongxing²,
Su Xuexue¹

1.
Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
2.
Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China

Received Date: 2019-12-28
Publish Date: 2020-11-15

Abstract

Abstract

Aiming at the limitations of previous Digital Borehole Image Analysis Technology, a new analysis scheme to realize automatic quantitative analysis of borehole inner wall images collected by Borehole Camera Technology (BCT) was developed. First, feature signal DH was designed to detect the pre-treated image and obtain Region of Interest (ROI) automatically. Second, low accuracy Hough transform was used to detect the distribution of discontinuities in the ROI rapidly. After separating discontinuities with clustering algorithm, the sub-pixel Hough transform was carried out for single discontinuity to obtain its sine parameters. Finally, the dip direction and dip of each single discontinuity were calculated using its sine parameters. In the case study, the automatic segmentation and feature recognition of the discontinuities in the digital images from the left bank of Rumei hydropower station were completed using proposed method, and the geometric data of discontinuities matched with the results of traditional artificial assistance method, verifying the reliability of proposed method.
- digital borehole images,
- segmentation of ROI,
- rock discontinuities,
- twice Hough transform,
- engineering geology

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References(43)

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