基于全景展开图像的隧道衬砌渗漏水数字化识别方法研究
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摘要
文章通过隧道衬砌展开影像生成器软件对隧道衬砌渗水区域采集影像进行特征点提取、图像匹配、模型识别、图像展开与拼接处理,得到隧道衬砌的全景展开图像。利用图像分割与处理技术,对全景图像采用灰度图像转换、阀值选取、二值图像开闭运算等原理实现对图像渗水区域信息的识别与修正,并基于贵州某运营公路隧道衬砌渗漏水实例,经过若干算法程序提取出该隧道渗水病害的位置、面积及病害长度等特征信息,建立了一套隧道衬砌渗漏水病害的数字化识别系统,可为隧道衬砌渗漏水检测提供一种便捷、高效、全面的综合检测手段。
Based on the images acquisited in the water leakage area of tunnel lining,the panoramic developed image of tunnel lining was obtained by using a image generator software in which the procedures of image feature extraction,image matching,model identification,image spread and mosaic processing can be performed.With techniques of image segmentation and processing,the information identification and correction of water leakage area were realized by means of grayscale image conversion,threshold selection and open-close operation of binary image.On the basis of water leakage at lining of an operated road tunnel in Guizhou,the location,area,length of water leakage and so on were deduced by several algorithmic programs,and a digital identification system of water leakage at tunnel lining was established,providing a convenient,efficient and comprehensive testing method for water leakage of tunnel lining.
Based on the images acquisited in the water leakage area of tunnel lining,the panoramic developed image of tunnel lining was obtained by using a image generator software in which the procedures of image feature extraction,image matching,model identification,image spread and mosaic processing can be performed.With techniques of image segmentation and processing,the information identification and correction of water leakage area were realized by means of grayscale image conversion,threshold selection and open-close operation of binary image.On the basis of water leakage at lining of an operated road tunnel in Guizhou,the location,area,length of water leakage and so on were deduced by several algorithmic programs,and a digital identification system of water leakage at tunnel lining was established,providing a convenient,efficient and comprehensive testing method for water leakage of tunnel lining.
引文
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[2]BELLES CRISTOBAL,PLA FILIBERTO.A Kinect-Based System for 3D Reconstruction of Sewer Manholes[J].Computer-Aided Civil and Infrastructure Engineering,2015,30(11):906-917.
[3]LEE CHIAHAN,CHIU YACHU,WANG TAITIEN,et al.Application and Validation of Simple Image-mosaic Technology for Interpreting Cracks on Tunnel Lining[J].Tunnelling and Underground Space Technology,2013,34(1):61-72.
[4]祝志恒.基于多视几何的隧道展开全景影像构建方法及应用研究[D].长沙:中南大学,2017.ZHU Zhiheng.Research of Construction Method and Application of Multi View Geometry Tunnel Based on Panoramic Images[D].Changsha:Central South University,2017.
[5]祝志恒,阳军生,钟扬,等.隧道衬砌展开影像生成器软件V1.0[P].2016.HU Zhiheng,YANG Junsheng,ZHONG Yang,et al.Image Generator Software for Tunnel Lining V1.0[P].2016.
[6]李晶哲,黄宏伟,马赟,等.基于红外热成像技术的隧道衬砌渗漏水检测方法研究[J].公路交通科技,2014(8):223-225+247.LI Jingzhe,HUANG Hongwei,MA Yun,et al.Research of Detection Method for Tunnel Lining Water Leakage based on Infrared Thermal Imaging Technology[J].Journal of Highway and Transportation Research and Development,2014(8):223-225+247.
[7]史增峰,陈系玉.基于地面激光扫描技术的地铁隧道墙壁渗漏水位置识别[J].上海工程技术大学学报,2015,29(2):106-109.SHI Zengfeng,CHEN Xiyu.Leakage Water Position Recognition of Railway Tunnel Wall Based on Terrestrial Laser Scanning Technology[J].Journal of Shanghai University of Engineering Science,2015,29(2):106-109.
[8]高赟,高有行.基于阈值动态分配空闲灰度级的红外图像增强[J].计算机工程与设计,2007,28(16):3935-3936.GAO Yun.GAO Youxing.Enhancement Algorithm by Automatically Assigning Idle Gray Levels Based on Threshold Value for Infrared Images[J].Computer Engineering and Design,2007,28(16):3935-3936.
[9]张爱华,余胜生,周敬利.一种二维直方图阈值化图像分割的后处理方法[J].华中科技大学学报自然科学版,2002,30(10):59-61.ZHANG Aihua,YU Shengsheng,ZHOU Jingli.A Post-processing Method of Two-dimensional Thresholding Image Segmentation[J].Journal of Huazhong University of Science and Technology(Natural Science),2002,30(10):59-61.
[10]刘学增,桑运龙,苏云帆.基于数字图像处理的隧道渗漏水病害检测技术[J].岩石力学与工程学报,2012(S2):3779-3786.LIU Xuezeng,SANG Yunlong,SU Yunfan.Detection Technology of Tunnel Leakage Disaster Based on Digital Image Processing[J].Chinese Journal of Rock Mechanics and Engineering,2012(S2):3779-3786.
[11]ZHU Z,FU J,YANG J.Panoramic Image Stitching for Arbitrarily Shaped Tunnel Lining Inspection[J].Computer-aided Civil and Infrastructure Engineering,2016,31(12):936-953.
[12]阮秋琦.数字图像处理学[M].北京:电子工业出版社,2001.RUAN Qiuqi.Digital Image Processing[M].Beijing:Publishing House of Electronics Industry,2001.
[13]孙即祥.图像分析[M].北京:科学出版社,2005.SUN Jixiang.Image Analysis[M].Beijing:Science Press,2005.
[14]杨琨,曾立波,王殿成,等.数学形态学腐蚀膨胀运算的快速算法[J].计算机工程与应用,2005,41(34):54-56.YANG Kun,ZENG Libo,WANG Diancheng,et al.A Fast Arithmetic for the Erosion and Dilation Operations of Mathematical Morphology[J].Computer Engineering and Applications,2005,41(34):54-56.
[15]马益杭,占利军,谢传节,等.连通域标记算法的并行化研究[J].地理与地理信息科学,2013,29(4):67-71.MA Yihang,ZHAN Lijun,XIE Chuanjie,et al.Parallelization of Connected Component Labeling Algorithm[J].Geography and Geo-information Science,2013,29(4):67-71.44