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An experimental study of the feasibility of phase‐based video magnification for damage detection and localisation in operational deflection shapes
Strain ( IF 1.8 ) Pub Date : 2021-04-05 , DOI: 10.1111/str.12380


The below references in Civera et al. article[1] should be corrected as follows:

[4] M. Civera, C. Surace, & K. Worden, Detection of cracks in beams using treed Gaussian processes. In Structural Health Monitoring & Damage Detection, 2017, Volume 7 (pp. 85–97). Springer, Cham.

[15] M. Civera, L. Z. Fragonara, & C. Surace, Video processing techniques for the contactless investigation of large oscillations. In Journal of Physics: Conference Series 2019, Vol. 1249, No. 1, p. 012004. IOP Publishing.

[23] E. Caetano, S. Silva, & J. Bateira, Application of a vision system to the monitoring of cable structures. In Seventh international symposium on cable dynamics, 2007 (pp. 225–236).

[24] M. Q. Feng, Y. Fukuda, D. Feng, & M. Mizuta. Nontarget vision sensor for remote measurement of bridge dynamic response. Journal of Bridge Engineering, 2015, 20(12), 04015023.

[30] C. Nonis, C. Niezrecki, T. Y. Yu, S. Ahmed, C. F. Su, & T. Schmidt. Structural health monitoring of bridges using digital image correlation. In Health Monitoring of Structural and Biological Systems, 2013 (Vol. 8695, p. 869507). International Society for Optics and Photonics.

[31] M. Malesa, D. Szczepanek, M. Kujawińska, A. Świercz, & P. Kołakowski. Monitoring of civil engineering structures using Digital Image Correlation technique. In EPJ Web of Conferences, 2010 (Vol. 6, p. 31014). EDP Sciences.

[36] E. P. Simoncelli & W. T. Freeman. The steerable pyramid: A flexible architecture for multi‐scale derivative computation. In Proceedings., International Conference on Image Processing 1995, (Vol. 3, pp. 444–447). IEEE.

[38] J. G. Chen, N. Wadhwa, Y. J. Cha, F. Durand, W. T. Freeman, & O. Buyukozturk. Modal identification of simple structures with high‐speed video using motion magnification. Journal of Sound and Vibration, 2015, 345, 58–71.

[40] H. Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, & W. Freeman. (2012). Eulerian video magnification for revealing subtle changes in the world. ACM transactions on graphics (TOG), 31(4), 1–8.



中文翻译:

基于相位的视频放大在操作偏转形状中进行损伤检测和定位的可行性的实验研究

Civera等人的以下参考文献。第[1]条应更正如下:

[4] M. Civera,C。Surace和K. Worden,使用树状高斯过程检测梁中的裂纹。在《结构健康监测与损坏检测》,2017年,第7卷(第85–97页)中。湛史普林格。

[15] M. Civera,LZ Fragonara和C. Surace,用于大振动的非接触式研究的视频处理技术。在Journal of Physics:Conference Series 2019,Vol。第1249号第1页。012004. IOP出版。

[23] E. Caetano,S。Silva和J. Bateira,视觉系统在电缆结构监测中的应用。在2007年第七届国际电缆动力学国际研讨会上(第225-236页)。

[24] MQ Feng,福田Y,F。D&M. Mizuta。非目标视觉传感器,用于桥梁动态响应的远程测量。杂志桥梁工程,2015年,20(12),04015023。

[30] C. Nonis,C。Niezrecki,TY TY,S。Ahmed,CF CF和T. Schmidt。使用数字图像相关性对桥梁进行结构健康监测。在《结构和生物系统的健康监测》,2013年(第8695卷,第869507页)。国际光学和光子学会。

[31] M. Malesa,D。Szczepanek,M。Kujawińska,A。Świercz和P.Kołakowski。使用数字图像相关技术监视土木工程结构。在EPJ会议网络( 2010年,第6卷,第31014页)中。EDP​​科学。

[36] EP Simoncelli和WT Freeman。可控金字塔:一种用于多尺度导数计算的灵活架构。在会议录中, 1995年国际图像处理会议,(第3卷,第444–447页)。IEEE。

[38] Chen JG,N。Wadhwa,YJ Cha,F。Durand,WT Freeman和O. Buyukozturk。使用运动放大率对带有高速视频的简单结构进行模态识别。声音与振动杂志的,2015年,345,58-71。

[40] HY Wu,M。Rubinstein,E。Shih,J。Guttag,F。Durand和W. Freeman。(2012)。欧拉视频放大倍率,用于揭示世界上的细微变化。图形上的ACM事务(TOG)31(4),1–8。

更新日期:2021-05-06
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