文章摘要
李敏,王婷,王晓红,栾英波,周嘉林.基于小波变换的北京密云沙厂区域相关岩群断面图像特征仿真研究[J].矿产勘查,2024,15(6):1049-1056
基于小波变换的北京密云沙厂区域相关岩群断面图像特征仿真研究
Wavelet transform-based simulation study on image features of related rock group sections of Shachang Formation in Miyun Area of Beijing
投稿时间:2023-12-11  修订日期:2024-05-04
DOI:10.20008/j.kckc.202406015
中文关键词: 小波变换  图像处理  沙厂铁矿区  特征提取  北京密云
英文关键词: wavelet transform  image processing  Shachang iron mine area  feature extraction  Beijing Miyun
基金项目:本文受北京市自然科学基金项目(8204076)资助。
作者单位邮编
李敏 北京市地质矿产勘查院北京 100195 100195
王婷* 山东特种工业集团有限公司山东 淄博255201 255201
王晓红 北京市地质矿产勘查院北京 100195 100195
栾英波 北京市地质矿产勘查院北京 100195 100195
周嘉林 北京市地质矿产勘查院北京 100195 100195
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中文摘要:
      沙厂铁矿区位属华北地台北缘中段、燕山台褶带西段。区域变质岩类型复杂,主要岩石构造具有典型的规律排列纹理特征。本文针对研究区采集的典型岩石样本图像应用MATLAB仿真平台进行研究,通过灰度化处理、滤波去噪及图像增强预处理方法有效提高了图像的信噪比,提升了后续特征提取的准确性。利用小波变换将图像进行三级分解,分析“条带状”构造岩石特征、横向边界岩石特征、“片麻状”构造岩石特征在小波子带图中的纹理局部细节特征,研究了各分解子带图中均值、均值占比、方差和方差占比特征参数的分布规律,准确表征了磁铁石英岩、含铜石英脉、角闪斜长片麻岩断面图像的有效特征。研究成果可为今后建设区域岩石识别系统提供一定的参考。
英文摘要:
      The Shachang iron deposit is located in the middle part of the northern edge of the North China Platform and the western part of the Yanshantai fold belt. The metamorphic rock types in the region are complex and the main rock formations are characterized by typical regularly arranged textures.For the typical rock sample images, the MATLAB simulation platform was used for research. The grayscale processing, filtering and noise removal, and image enhancement preprocessing methods were used to effectively improve the signal-to-noise ratio of the image and improve the accuracy of subsequent feature extraction. The image was decomposed into three levels by wavelet transform, and the texture local detail features of the "banded" structure rock features, lateral boundary rock features, and "gneissic" structure rock features were analyzed in the wavelet subband diagram. The distribution patterns of the mean, mean proportion, variance and variance proportion feature parameters in each decomposition subband diagram was studied, accurately characterizing the effective features of the magnetite quartzite, copper-bearing quartz vein, and amphibolite gneiss schist section images. The research results can provide certain reference for the construction of regional rock recognition system in the future.
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