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    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

    夏丁, 葛云峰, 唐辉明, 王亮清, 邹宗兴, 苏雪雪, 2020. 数字钻孔图像兴趣区域分割与岩体结构面特征识别. 地球科学, 45(11): 4207-4217. doi: 10.3799/dqkx.2020.003
    引用本文: 夏丁, 葛云峰, 唐辉明, 王亮清, 邹宗兴, 苏雪雪, 2020. 数字钻孔图像兴趣区域分割与岩体结构面特征识别. 地球科学, 45(11): 4207-4217. doi: 10.3799/dqkx.2020.003
    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

    数字钻孔图像兴趣区域分割与岩体结构面特征识别

    doi: 10.3799/dqkx.2020.003
    基金项目: 

    国家重点研发计划项目 2017YFC1501305

    国家重大科研仪器研制项目 41827808

    中央高校基本科研业务费专项资金资助项目 1810491T13

    详细信息
      作者简介:

      夏丁(1996-), 男, 硕士研究生, 主要从事工程地质和岩土工程学习科研工作.ORCID:0000-0003-2900-2133.E-mail:cug_xia@foxmail.com

      通讯作者:

      唐辉明, ORCID:0000-0002-0385-8155.E-mail:tanghm@cug.edu.cn

    • 中图分类号: P64

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

    • 摘要: 针对现有数字钻孔图像分析技术的不足,提出新分析方案以实现数字钻孔摄像技术(BCT)所采集钻孔内壁图像的自动化、定量化结构面检测、识别与分析.首先,对数字钻孔图像进行预处理,设计特征信号DH,检测并获取兴趣区域;然后,使用低精度Hough变换快速检测结构面兴趣区域内的结构面分布特征,利用聚类算法分离出单一结构面后,针对单一结构面进行亚像素级Hough变换,以获取结构面的正弦参数;最后,根据结构面正弦参数,计算出结构面的倾向、倾角等信息.通过对如美水电站左坝肩数字钻孔图像实例进行分析,利用本算法完成图像中结构面的自动分割与特征识别,成功获取其几何信息,并与传统人工辅助方案结果进行对比,验证了该算法的可靠性.

       

    • 图  1  技术路线

      Fig.  1.  Technical Scheme

      图  2  预处理效果图

      Fig.  2.  Effect of pre-treatment

      图  3  Canny边缘及特征信号DH

      Fig.  3.  Canny edge and features (DH)

      图  4  不同工况下的兴趣区域划分结果

      Fig.  4.  Segmentation results of ROI under different conditions

      图  5  兴趣区域实例

      Fig.  5.  Examples of ROI

      图  6  兴趣区域预处理

      Fig.  6.  Pre-treatment for ROI

      图  7  二次Hough变换流程

      Fig.  7.  Flow chart of twice Hough transform

      图  8  单结构面检测效果

      Fig.  8.  Detection effect for single discontinuity

      图  9  交错结构面检测效果

      Fig.  9.  Detection effect for crossed discontinuities

      图  10  ZK35、ZKZ02和ZKZ09号钻孔部分图像

      Fig.  10.  Digital images of ZKZ02, ZK35 and ZKZ09

      图  11  兴趣区域分割结果

      Fig.  11.  Segmentation results of ROI

      图  12  结构面识别效果

      Fig.  12.  Identification effect of discontinuities

      图  13  赤平投影图

      Fig.  13.  Stereographic projection

      表  1  产状计算结果对比

      Table  1.   Comparison of calculation results of attitude

      编号 深度(m) 产状(°) 误差(°)
      自动识别 人工识别 倾向 倾角 最大误差
      倾向 倾角 倾向 倾角
      D1-1 66.92 9.8 16.1 9.3 16.4 0.5 0.3 0.5
      D1-2 67.09 35.3 16.2 31.2 14.4 4.1 1.8 4.1
      D2-1 97.14 355.5 9.6 359.4 8.0 3.9 1.6 3.9
      D2-2 97.75 344.0 15.8 347.3 16.9 3.3 1.1 3.3
      D2-3 97.85 358.3 20.2 3.1 18.7 4.8 1.5 4.8
      D3-1 105.86 229.7 1.6 233.1 6.3 3.4 4.7 4.7
      D3-2 106.16 317.6 27.3 313.7 29.1 3.9 1.8 3.9
      D3-3 106.38 40.4 15.8 36.5 19.7 3.9 3.9 3.9
      D3-4 106.51 312.5 21.6 316.4 20.5 3.9 1.1 3.9
      D3-5 106.69 298.7 8.0 302.9 11.9 4.2 3.9 4.2
      D4-1 98.11 137.7 9.6 134.8 8.9 2.9 0.7 2.9
      D4-2 98.30 209.4 27.3 213.2 35.4 3.8 8.1 8.1
      D4-3 98.61 203.6 19.4 201.2 21.3 2.4 1.9 2.4
      D4-4 98.68 163.5 20.2 165.8 17.4 2.3 2.8 2.8
      D4-5 98.80 186.4 6.4 189.5 8.9 3.1 2.5 3.1
      D4-6 98.84 192.2 19.4 193.8 20.6 1.6 1.2 1.6
      D4-7 98.87 192.2 24.3 191.5 24.9 0.7 0.6 0.7
      D4-8 99.20 134.3 5.6 138.1 3.9 3.8 1.7 3.8
      下载: 导出CSV
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