留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

构造弱变形区自动有限应变测量-以石英砂岩为例

崔敏 蔡佳

崔敏, 蔡佳, 2014. 构造弱变形区自动有限应变测量-以石英砂岩为例. 地质力学学报, 20 (2): 159-164.
引用本文: 崔敏, 蔡佳, 2014. 构造弱变形区自动有限应变测量-以石英砂岩为例. 地质力学学报, 20 (2): 159-164.
CUI Min, CAI Jia, 2014. AUTOMATIC FINITE STRAIN DETERMINATION OF QUARTZ SANDSTONE IN WEAK STRUCTURAL DEFORMATION REGION. Journal of Geomechanics, 20 (2): 159-164.
Citation: CUI Min, CAI Jia, 2014. AUTOMATIC FINITE STRAIN DETERMINATION OF QUARTZ SANDSTONE IN WEAK STRUCTURAL DEFORMATION REGION. Journal of Geomechanics, 20 (2): 159-164.

构造弱变形区自动有限应变测量-以石英砂岩为例

基金项目: 

国家科技重大专项项目 2011ZX05023-001

详细信息
    作者简介:

    崔敏(1981-),男,山东青岛人,工程师,现从事构造地质研究工作。E-mail:cuimin800@163.com

  • 中图分类号: P551

AUTOMATIC FINITE STRAIN DETERMINATION OF QUARTZ SANDSTONE IN WEAK STRUCTURAL DEFORMATION REGION

  • 摘要: 有限应变测量是研究岩石变形特征的重要研究内容。为了提高岩石有限应变测量的精度与速度,改变手工测量岩石有限应变耗时、枯燥的状况,应用多重图像限制的自动种子区域生长算法,以大青山地区为例,对如变形区内的石英砂岩有限应变进行了自动测量。该算法综合多个图像、利用色彩信息,不需要特殊设备即可对颗粒进行自动识别。算法还在叠加后的图像中,应用了修改的Canny边缘检测算法增强颗粒边界与内部的对比度。识别结果与手工测量的颗粒,在质心坐标、面积、长轴、短轴、有限应变测量方面具有很大的相似性。

     

  • 图  1  原始图像

    Figure  1.  The original image

    图  2  经过多重图像叠加边缘增强后图像

    Figure  2.  The image after superposition and boundary enforced

    图  3  颗粒自动识别与手工描图结果对比

    Figure  3.  Contrast of results between automatic identified and handcrafted

    图  4  自动识别与手工描图几何参数的对比

    Figure  4.  The contrast of geometric parameter between MICASRG and hand crafted

    图  5  自动识别颗粒长轴长、短轴长频数统计直方图

    Figure  5.  Histogram of length of the major axis and axis by MICASRG

    表  1  两组数据的Rf/ $\varphi $ 法岩石应变测量结果

    Table  1.   Results of finite strain estimates (Rf/ $\varphi $ ) based on two sets of data

    参数手工描图自动识别
    Rs1.341.37
    长轴方向14.256.84
    Ri1.661.73
    注:Rs为应变椭圆轴率,Ri为初始椭圆轴率
    下载: 导出CSV
  • [1] Roy C K, Meere P A, Mulchrone K F. Automated grain boundary detection by CASRG[J]. Journal of Structural Geology, 2006, 28(3): 363~375. doi: 10.1016/j.jsg.2005.12.010
    [2] Bartozzi M, Boyle A P, Prior D J. Automated grain boundary detection and classification in orientation contrast images[J]. Journal of Structural Geology, 2000, 22(11/12): 1569~1579.
    [3] Heilbronner R. Automatic grain boundary detection and grain size analysis using polarization micrographs or orientation images [J]. Journal of Structural Geology, 2000, 22(7): 969~981. doi: 10.1016/S0191-8141(00)00014-6
    [4] Zhou Y, Starkey J, Mansinha L. Segmentation of petrographic images by integrating edge detection and region growing [J]. Computers & Geosciences, 2005, 30(8): 817~831. http://www.academia.edu/3835071/Segmentation_of_petrographic_images_by_integrating_edge_detection_and_region_growing
    [5] Mulchrone K F, Meere P A, Choudhury K R. SAPE: A program for semi-automatic parameter extraction for strain analysis[J]. Journal of Structural Geology, 2005, 27(11): 2084~2098. doi: 10.1016/j.jsg.2005.05.019
    [6] 周继彬, 曾佐勋.岩石有限应变测量反向轮法的计算机CSD软件设计[J].地球科学:中国地质大学学报, 2001, 26(1):105~109. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200101021.htm

    ZHOU Ji-bin, ZENG Zuo-xun. CSD software design for finte-strain determination with inverse surfor wheel [J]. Earth Science: Journal of China University of Geosciences, 2001, 26(1): 105~109. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200101021.htm
    [7] 林开颜, 吴军辉, 徐立鸿.彩色图像分割方法综述[J].中国图象图形学报, 2005, 10(1):1~10. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200501000.htm

    LIN Kai-yan, WU Jun-hui, XU Li-hong. A survey on color image segmentation techniques [J]. Journal of Image and Graphics, 2005, 10(1): 1~10. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200501000.htm
    [8] 王植, 贺赛先.一种基于Canny理论的自适应边缘检测方法[J].中国图象图形学报, 2004, 9(8): 957~962. doi: 10.11834/jig.200408183

    WANG Zhi, HE Sai-xian. An adaptive edge-detection method based on Canny algorithm [J]. Journal of Image and Graphics, 2004, 9(8): 957~962. doi: 10.11834/jig.200408183
    [9] Yu H, Zheng Y. A statistical analysis applied to the Rf/θ method[J]. Tectonophysics, 1984, 110(1/2): 151~155. https://arxiv.org/pdf/0812.2412
    [10] Ailleres L, Champenois M. Refinements to the Fry method (1979) using image processing[J]. Journal of Structural Geology, 2004, 16(9): 1327~1330.
    [11] Mulchrone K F, Meere P A. Finite strain estimation using the mean radial length of elliptical objects with bo-otstrap confidence intervals[J]. Journal of Structural Geology, 2003, 25(4): 529~539. doi: 10.1016/S0191-8141(02)00049-4
    [12] Mulchrone K F. Application of Delaunay triangulation to the nearest neighbour method of strain analysis[J]. Journal of Structural Geology, 2003, 25(5): 689~702. doi: 10.1016/S0191-8141(02)00067-6
  • 加载中
图(5) / 表(1)
计量
  • 文章访问数:  176
  • HTML全文浏览量:  88
  • PDF下载量:  10
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-02-21
  • 刊出日期:  2014-06-01

目录

    /

    返回文章
    返回