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机构地区:[1]中国地质大学地球物理与空间信息学院,武汉430074 [2]武汉大学测绘遥感信息工程国家重点实验室,武汉430079
出 处:《吉林大学学报(地球科学版)》2011年第4期1253-1261,共9页Journal of Jilin University:Earth Science Edition
基 金:国家'863'计划项目(2007AA12Z160);国家'973'计划项目(2009CB723905);国家自然科学基金项目(40672205)
摘 要:针对传统岩石薄片鉴定以肉眼观察和描述为主,存在主观性强、定量困难等问题,将数字图像处理方法引入岩石矿物研究,提出了基于多尺度分割的岩石图像矿物特征信息提取方法。以铁质石英砂岩薄片显微镜下单偏光图像为实验对象,获取了石英颗粒的边界及其体积分数、大小、周长、长轴长度和方位、长轴和短轴比、圆度和形态指数等信息。其中:石英颗粒的体积分数为47.07%,小于基质的体积分数,在基质中呈漂浮状,为杂基支撑结构,表明形成于沉积同生期;长轴的范围为50-604像素,表明石英颗粒大小不均、分选性差;颗粒的圆度为0.27-1.82,形态指数值为1.19-2.46,圆度和形态指数值较小,表明石英颗粒有一定的磨圆度。这种信息的获取和定量分析方法有助于对岩石图像的地学理解。Traditionally,minerals identification of thin sections under the microscope is carried out with visual interpretation and qualitative description.It is subjective and difficult to quantify.We introduce a digital image processing technique to minerals analysis,and multiresolution segmentation is employed to mineral features extraction and analysis on the petrographic image of quartz sandstone.Firstly,we obtained the boundary of the quartz grains using multiresolution segmentation.Then the features of quartz particles were extracted,including size,contents,perimeter,long axis length and orientation,the long axis and minor axis ratio,roundness and shape index;pixel statistics shows quartz content are of 47.07%,less than the matrix,which floating in the matrix with matrix support structure;the long axis of quartz ranges from 50 to 604 pixels,which shows the size of quartz grains is poorly sorted;and the roundness is 0.27-1.82,shape index value of 1.19-2.46,roundness and shape index is of small value,that means it has certain psephicity.This study shows digital image processing based on multiresolution segmentation can achieve the quantitative description for the minerals features,and it is helpful for petrographic images understanding and analysis.
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