摘要
针对地震后高层建筑物结构损伤监测问题,该文提出一种基于方向码匹配(OCM)和边缘增强匹配(EEM)算法的微小位移测量算法。该算法先将原始图像梯度信息与像素强度融合,增强图像信息;采用相位相关法进行匹配运算,匹配速度比归一化互相关法提升了96.1%;最后使用亚像素插值法,使测量结果达到亚像素精度。实验结果表明,该文算法避免了OCM和EEM算法量化过程中图像梯度信息的损失,大大提高了模板匹配精度,匹配速度比OCM提升了43.3%,比EEM提升了19.6%。
A micro-displacement measurement algorithm is proposed based on the Orientation Code Matching(OCM)and Edge Enhanced Matching(EEM)algorithms for monitoring the structural damage of tall buildings after earthquake.The algorithm first fuses the gradient information of the original image with the pixel intensity to enhance the image information;Then the phase correlation method is used to perform the matching operation,the matching speed is 96.1%higher than the normalized cross-correlation method;Finally,the subpixel interpolation method is used to make the measurement achieve sub-pixel accuracy.Experimental results show that the proposed algorithm avoids the loss of image gradient information during the quantization of OCM and EEM algorithms,greatly improves the template matching accuracy,and the matching speed is 43.3%higher than OCM and 19.6%higher than EEM.
作者
陈昌川
李奎
乔飞
姜宏伟
赵曼淇
公茂盛
王海宁
张天骐
CHEN Changchuan;LI Kui;QIAO Fei;JIANG Hongwei;ZHAO Manqi;GONG Maosheng;WANG Haining;ZHANG Tianqi(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Laboratory of Earthquake Engineering and Engineering Vibration,Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2020年第10期2516-2523,共8页
Journal of Electronics & Information Technology
基金
国家重点研发计划(2017YFC1500601)
国家自然科学基金(61701067,61771085,61671095,61702065)
重庆市研究生教育教学改革研究重点项目(yjg192019)。
关键词
图像处理
位移测量
模板匹配
亚像素
Image processing
Displacement measurement
Template matching
Subpixel
