Measurement Algorithm of Building Vibration Displacement Based on Image Signal Processing

被引：0
|
作者：
Chen C. [1 ,3 ]
Li K. [1 ,3 ]
Qiao F. [2 ]
Jiang H. [2 ]
Zhao M. [2 ]
Gong M. [4 ]
Wang H. [1 ,3 ]
Zhang T. [1 ,3 ]
机构：
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
[2] Department of Electronic Engineering, Tsinghua University, Beijing
[3] Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing
[4] Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin
来源：
Qiao, Fei (qiaofei@tsinghua.edu.cn) | 1600年 / Science Press卷 / 42期
基金：
中国国家自然科学基金;
关键词：
Displacement measurement; Image processing; Subpixel; Template matching;
D O I：
10.11999/JEIT24_dzyxxxb-42-10-2516
中图分类号：
学科分类号：
摘要：
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 sub-pixel 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. © 2020, Science Press. All right reserved.
引用
收藏
页码：2516 / 2523
页数：7
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