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一种基于MATLAB的碎屑岩粒度分析方法
引用本文:方梦阳,何建宁,王万虎,李明哲. 一种基于MATLAB的碎屑岩粒度分析方法[J]. 岩石矿物学杂志, 2020, 39(4): 504-510
作者姓名:方梦阳  何建宁  王万虎  李明哲
作者单位:中国地质调查局 海口海洋地质调查中心, 海南 海口 570100,中国地质调查局 海口海洋地质调查中心, 海南 海口 570100,中国地质调查局 海口海洋地质调查中心, 海南 海口 570100,中国地质调查局 海口海洋地质调查中心, 海南 海口 570100
基金项目:中国地质调查局地质调查项目(DD20208018)
摘    要:利用MATLAB图像处理与统计计算功能对碎屑岩进行粒度分析,可以较好地解决传统粒度分析方法中存在的测量结果不精确、费时费力等问题。首先对碎屑岩镜下图像进行灰度化、二值化、图像增强等处理,准确测量出碎屑岩中各类粒度数据,然后将粒度数据转换为粒度参数运用到沉积环境分析中,更为精确地判别沉积环境。分析结果表明,该方法不但与传统粒度分析方法结果一致,而且测量精度高,方法简单,操作便捷,适用性好。

关 键 词:粒度分析  粒度参数  图像处理  MATLAB
收稿时间:2019-11-06

A particle size analysis method for clastic rock based on MATLAB
FANG Meng-yang,HE Jian-ning,WANG Wan-hu and LI Ming-zhe. A particle size analysis method for clastic rock based on MATLAB[J]. Acta Petrologica Et Mineralogica, 2020, 39(4): 504-510
Authors:FANG Meng-yang  HE Jian-ning  WANG Wan-hu  LI Ming-zhe
Affiliation:Haikou Marine Center, China Geological Survey, Haikou 570100, China,Haikou Marine Center, China Geological Survey, Haikou 570100, China,Haikou Marine Center, China Geological Survey, Haikou 570100, China and Haikou Marine Center, China Geological Survey, Haikou 570100, China
Abstract:Using the image processing function and numerical calculation function of MATLAB to analyze the grain size of clastic rock, the method can better solve the problems of inaccurate measurement results as well as time-consuming and laborious work in traditional grain size analysis methods. Firstly, the image of clastic rock under the microscope is processed by grayscale, binarization and image enhancement, and all kinds of granularity data in clastic rock are measured accurately. Then, the obtained data are transformed into grain size parameters and applied to sedimentary environment analysis to calculate sedimentary environment more accurately. The results show that this method not only has high measurement accuracy, simple performance, convenient operation and good applicability but also shows that the analytical results are consistent with the traditional particle size analysis method.
Keywords:granularity analysis  granularity parameters  image processing  MATLAB
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