【作者】 程雅星； 胡瑞林； 夏加国； 高玮； 高文伟；

【Author】 CHENG Yaxing;HU Ruilin;XIA Jiaguo;GAO Wei;GAO Wenwei;Key laboratory of Shale Gas and Geoengineering,Institute of Geology and Geophysics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;

【机构】 中国科学院页岩气与地质工程重点实验室； 中国科学院大学；

【摘要】 本文选取湖南衡阳南岳区拜殿乡发育的堆积体斜坡作为研究对象,通过分析堆积体结构特征的特殊性,提出了使用图像分析技术与现场筛分实验相结合来获得堆积体中块石含量的统计方法,即通过图像采集、图像处理、图像分析、数据处理等一系列必要的操作来获取块石含量数据,再与现场筛分实验数据结合统计含石量。结果表明,图像处理技术原理可靠,操作简便,检测速度快,图像处理与现场实验相结合的方法较传统的土工试验结果更加精确,该方法可以在堆积体滑坡的工作中广泛使用。更多还原

【Abstract】 The author selects a deposit slope of the Hunan Hengyang Nanyue Baidian as the research object.Through analysing the structure characteristics of the particularity of deposit,suggests using image analysis technology to collaborate with field experiment to get the stone content of the deposit.Through image acquisition,image processing,image analysis,data processing and a series of necessary operations to get the block proportion data,then combine with field experiment data to statistic block proportion.The result shows that the principle of image processing technology is reliable and easily to operate date.Combining image processing and field experiments make the geotechnical test results more accurate,and the method can be widely used in the other deposit slope work.更多还原