文章摘要
李敏,王晓红,张诗檬,韩征,王婷.北京市延庆硅化木园区典型岩石矿物图像特征提取与分析[J].矿产勘查,2023,14(2):251-257
北京市延庆硅化木园区典型岩石矿物图像特征提取与分析
Feature extraction and analysis of typical rock and mineral images in the Beijing Yanqing Silicified Wood Park
投稿时间:2022-01-14  
DOI:10.20008/j.kckc.202302011
中文关键词: 特征提取  图像处理  延庆硅化木区园区  岩石矿物识别
英文关键词: feature extraction  image processing  Yanqing Silicified Wood Park  identification of rock and mineral
基金项目:本文受北京市自然科学基金项目(8204076)资助。
作者单位
李敏 北京市地质矿产勘查院信息中心, 北京 100195 
王晓红 北京市地质矿产勘查院信息中心, 北京 100195 
张诗檬 北京市地质矿产勘查院信息中心, 北京 100195 
韩征 北京市地质矿产勘查院信息中心, 北京 100195 
王婷 山东特种工业集团有限公司, 山东 淄博 255201 
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中文摘要:
      北京市延庆硅化木园区位于中朝准地台内蒙地轴与燕山台褶带两个Ⅱ级构造单元衔接部位, 地层岩性组合在北京地区具有一定的典型性和代表性。对研究区内岩石矿物特征的提取与分析,进而为北京地区今后开展岩性识别相关工作具有一定的参考意义。本研究基于Visual C++ 软件平台,应用数字图像处理技术开展颜色、灰度、纹理、投影、频域等多种适用于典型岩石矿物图像的特征提取方法研究,进行系统的参数值计算及仿真分析。通过优化选择确定最优特征量及最大判据值,实现了多参数特征有效集成,初步建立了综合、全面的特征提取系统技术体系,有助于提升地质调查工程中岩石矿物识别的精度。
英文摘要:
      Yanqing Silicified Wood Park in Beijing is located in junction of the Inner Mongolia axis and the Yanshan platform fold belt of Sino-Korean paraplatform. The stratigraphic lithological association is typical and representative in Beijing. The extraction and analysis of rock and mineral characteristics in this study area has important reference significance for future work related to lithological identification in Beijing. Based on Visual C++ software platform, we apply digital image processing technology to carry out a variety of feature extraction methods suitable for typical rock and mineral images, such as color, gray, texture, dimension reduction, frequency domain, etc., and carry out systematic parameter value calculation and simulation analysis in this research. Through optimal selection, the optimal feature quantity and the maximum criterion value are determined, the effective integration of multi parameter features is realized, and a comprehensive feature extraction system technology system is preliminarily established, which provides a theoretical basis for improving the accuracy of rock and mineral identification in geological survey engineering.
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