基于MATLAB图像处理的冒落胶结充填体块度测定
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摘要
为研究某矿区胶结充填体自然冒落后的块度分布情况,以该矿区冒落胶结充填体为研究对象,提出一种基于MATLAB图像处理软件的块度测定方法,建立GUI环境图像处理模型,通过手机拍摄采集冒落胶结充填体图像样本。导入图像后依次进行灰度处理、平滑去噪、图像增强、边缘检测、梯度处理与修正、分割及连通域标注处理后统计并导出图像中胶结充填体碎块面积,根据面积得出碎块的最小边长并统计其块度分布区间,同时利用传统照相法进行块度可靠性验证。结果表明,该图像处理方法具有高效性、可靠性的特点,并得出该矿区胶结充填体的冒落块度分布为:>0.6m占28.81%,0.3～0.6m占27.01%,0.1～0.3m占20.45%,<0.1m占23.72%。
In order to study the fragmentation distribution of the spontaneous caving cemented filling body in a mining area,taking the cemented filling body as the research object,a fragmentation determination method is proposed based on MATLAB image processing technology to establish the image processing model under the environment of the GUI and to collect image samples of caving cemented filling body by mobile phone.After importing the image,grayscale processing,smooth denoising,image enhancement,edge detection,gradient processing and correction,image segmentation,and connected domain labeling are made successively before counting up and exporting the area of cemented filling body debris in the image.The minimum length of the debris is found out according to area and its block degree distribution interval is counted up using traditional photographic method to verify its reliability.Results show that the image processing method has the characteristics of high efficiency and reliability,and fragmentation distribution of the spontaneous caving cemented filling body is given as 0.6～0.9 m(28.81%),0.3～0.6 m(27.01%),0.1～0.3 m(20.45%),<0.1 m(23.72%).
In order to study the fragmentation distribution of the spontaneous caving cemented filling body in a mining area,taking the cemented filling body as the research object,a fragmentation determination method is proposed based on MATLAB image processing technology to establish the image processing model under the environment of the GUI and to collect image samples of caving cemented filling body by mobile phone.After importing the image,grayscale processing,smooth denoising,image enhancement,edge detection,gradient processing and correction,image segmentation,and connected domain labeling are made successively before counting up and exporting the area of cemented filling body debris in the image.The minimum length of the debris is found out according to area and its block degree distribution interval is counted up using traditional photographic method to verify its reliability.Results show that the image processing method has the characteristics of high efficiency and reliability,and fragmentation distribution of the spontaneous caving cemented filling body is given as 0.6～0.9 m(28.81%),0.3～0.6 m(27.01%),0.1～0.3 m(20.45%),<0.1 m(23.72%).
引文
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[2]杨金保.图像处理技术在岩石爆破块度分析中的应用[D].北京:中国地质大学(北京),2009.
[3]吕林,尹君,胡振襄.基于图像处理的岩体块度分析系统[J].金属矿山,2011(2):118-121.
[4]牛福生,张悦,聂轶苗.图像处理技术在工艺矿物学研究中的应用[J].金属矿山,2010(5):92-95+103.
[5]于润坤,刘华生.摄影-图象分析法测定爆堆矿岩块度[J].化工矿山技术,1993(6):45-50.
[6]吕林.图像处理技术在岩体块度分析中的应用[D].武汉:武汉理工大学,2011.
[7]杨艳美,高满屯,贺剑.维纳滤波图像复原技术的研究与改进[J].科学技术与工程,2012(29):7611-7615.
[8]颜兵,王金鹤,赵静.基于均值滤波和小波变换的图像去噪技术研究[J].计算机技术与发展,2011(2):51-53+57.
[9]于晓晶.图像滤波方法的探讨及其MATLAB实现[D].上海:华东师范大学,2008.
[10]朱志恩.中值滤波技术在图像处理中的应用研究[D].沈阳:东北大学,2008.
[11]殷苏民,朱锦萍,王祖声,等.基于顶帽变换和最大类间方差法的图像分割方法研究[J].科学技术与工程,2014(7):60-64.
[12]刘金鑫,张祺.基于梯度值的自适应窗口立体图像匹配算法[J].计算机与现代化,2012(1):67-69+82.