基于CT数字图像处理的岩石矿物成分分析
首发时间:2017-06-23
摘要:目前,分析岩石矿物成分及其含量仍然以传统方法为主,如化学分析、发射光谱分析、热分析等。而传统方法任务量大,耗时长,操作复杂。针对这种情况,我们以数字图像处理理论、CT成像原理、矿物学和岩石学为理论基础,通过对岩石CT图像进行预处理、腐蚀膨胀、多阈值分割等操作达到分析其矿物成分的目的。本文以砂岩为例,利用Matlab2016a软件,详细论述了全新的岩石矿物成分分析方法。
关键词: 固体地球物理学 CT成像 数字图像处理 图像分割 岩石矿物成分
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Analysis of rock mineral component based on CT image processing
Abstract:At present, in analysis of rock mineral component and its content, traditional methods are majorly used,such as chemical analysis, emission spectrum analysis, thermal analysis and so on. However, with traditional method, the analysis is a mammoth task, both time-consuming and complicated in operation. In response to this disadvantage, we use the method of image preprocessing, a method of corrosion and expansion, and multi-threshold segmentation to deal with the CT image of rock to achieve the purpose of analyzing its mineral component, which based on Digital image processing, CT imaging,Mineralogy and Petrology. In this paper, a new method for analyzing rock mineral component is discussed in detail, taking CT image processing of the sandstone as an example and using Matlab2016a to achieve the goal.
Keywords: Solid-earth physics CT imaging Didital image processing Image segmentation Rock mineral component
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No.4737325120628114****
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