Measurement Algorithm of Building Vibration Displacement Based on Image Signal Processing

Changchuan CHEN; Kui LI; Fei QIAO; Hongwei JIANG; Manqi ZHAO; Maosheng GONG; Haining WANG; Tianqi ZHANG

doi:10.11999/JEIT190805

Volume 42 Issue 10

Oct. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(10): 2516-2523

Changchuan CHEN, Kui LI, Fei QIAO, Hongwei JIANG, Manqi ZHAO, Maosheng GONG, Haining WANG, Tianqi ZHANG. Measurement Algorithm of Building Vibration Displacement Based on Image Signal Processing[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2516-2523. doi: 10.11999/JEIT190805

Citation:

Changchuan CHEN, Kui LI, Fei QIAO, Hongwei JIANG, Manqi ZHAO, Maosheng GONG, Haining WANG, Tianqi ZHANG. Measurement Algorithm of Building Vibration Displacement Based on Image Signal Processing[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2516-2523. doi: 10.11999/JEIT190805

Citation:

Changchuan CHEN, Kui LI, Fei QIAO, Hongwei JIANG, Manqi ZHAO, Maosheng GONG, Haining WANG, Tianqi ZHANG. Measurement Algorithm of Building Vibration Displacement Based on Image Signal Processing[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2516-2523. doi: 10.11999/JEIT190805

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Measurement Algorithm of Building Vibration Displacement Based on Image Signal Processing

doi: 10.11999/JEIT190805

Changchuan CHEN^{1, 3},
Kui LI^{1, 3},
Fei QIAO^{2
,
,},
Hongwei JIANG²,
Manqi ZHAO²,
Maosheng GONG⁴,
Haining WANG^{1, 3},
Tianqi ZHANG^{1, 3}

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
3.
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
4.
Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China

Funds: The National Key R&D Program of China (2017YFC1500601), The National Natural Science Foundation of China (61671095, 61771085, 61702065, 61701067), The Key Research Projects in Teaching Reform of Postgraduate Education in Chongqing City (yjg192019)

Received Date: 2019-10-16
Rev Recd Date: 2020-04-12

Available Online: 2020-04-28

Publish Date: 2020-10-13

Abstract

Abstract

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.
- Image processing,
- Displacement measurement,
- Template matching,
- Subpixel

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References(17)

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