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Advances in Civil Engineering
Volume 2010, Article ID 215295, 18 pages
http://dx.doi.org/10.1155/2010/215295
Research Article

Image-Based Framework for Concrete Surface Crack Monitoring and Quantification

Department of Structural Engineering, University of California, San Diego, CA 92093, USA

Received 5 September 2009; Revised 25 December 2009; Accepted 10 March 2010

Academic Editor: Jinying Zhu

Copyright © 2010 ZhiQiang Chen and Tara C. Hutchinson. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [42 citations]

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  • Quan Gao, Yang Yang, and Xiong (Bill) Yu, “A New Approach to Measure Water Film Due to Void Redistribution in Layered Soil,” Ifcee 2015, pp. 1162–1175, . View at Publisher · View at Google Scholar
  • Chen, Derakhshani, Halmen, and Kevern, “A texture-based method for classifying cracked concrete surfaces from digital images using neural networks,” Proceedings of the International Joint Conference on Neural Networks, pp. 2632–2637, 2011. View at Publisher · View at Google Scholar
  • Ikhlas Abdel-Qader, Fadi Abu-Amara, and Osama Abudayyeh, “Fractals and Independent Component Analysis for Defect Detection in Bridge Decks,” Advances in Civil Engineering, vol. 2011, pp. 1–14, 2011. View at Publisher · View at Google Scholar
  • Peter C. Chang, and Duoduo Liao, “Image-based structural damage assessment with sensor fusion,” ACM International Conference Proceeding Series, 2012. View at Publisher · View at Google Scholar
  • Mohammad R. Jahanshahi, and Sami F. Masri, “A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation,” Smart Materials and Structures, vol. 22, no. 3, 2013. View at Publisher · View at Google Scholar
  • A. Farhidzadeh, E. Dehghan-Niri, A. Moustafa, S. Salamone, and A. Whittaker, “Damage Assessment of Reinforced Concrete Structures Using Fractal Analysis of Residual Crack Patterns,” Experimental Mechanics, vol. 53, no. 9, pp. 1607–1619, 2013. View at Publisher · View at Google Scholar
  • Wilson Ricardo Leal da Silva, and Petr Štemberk, “Expert system applied for classifying self-compacting concrete surface finish,” Advances in Engineering Software, vol. 64, pp. 47–61, 2013. View at Publisher · View at Google Scholar
  • Michael J. Olsen, Zhiqiang Chen, Falko Kuester, and Tara Hutchinson, “Optical techniques for multiscale damage assessment,” Geomatics, Natural Hazards and Risk, vol. 4, no. 1, pp. 49–70, 2013. View at Publisher · View at Google Scholar
  • O. Panagouli, and K. Iordanidou, “Study of the Residual Strength of an RC Shear Wall with Fractal Crack Taking into Account Interlocking Interface Phenomena,” Mathematical Problems in Engineering, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Alessio Arena, Claudio Delle Piane, and Joel Sarout, “A new computational approach to cracks quantification from 2D image analysis: Application to micro-cracks description in rocks,” Computers & Geosciences, vol. 66, pp. 106–120, 2014. View at Publisher · View at Google Scholar
  • ZhiQiang Chen, and Jianfei Chen, “Mobile Imaging and Computing for Intelligent Structural Damage Inspection,” Advances in Civil Engineering, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Salvatore Salamone, Alireza Farhidzadeh, and Arvin Ebrahimkhanlou, “A vision-based technique for damage assessment of reinforced concrete structures,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 9064, 2014. View at Publisher · View at Google Scholar
  • ZhiQiang Chen, “Collaborative mobile-cloud disaster scene computing for rapid post-disaster response,” NCEE 2014 - 10th U.S. National Conference on Earthquake Engineering: Frontiers of Earthquake Engineering, 2014. View at Publisher · View at Google Scholar
  • ZhiQiang Chen, Jianfei Chen, Feichen Shen, and Yugyung Lee, “Collaborative Mobile-Cloud Computing for Civil Infrastructure Condition Inspection,” Journal Of Computing In Civil Engineering, vol. 29, no. 5, 2015. View at Publisher · View at Google Scholar
  • Christian Koch, Kristina Georgieva, Varun Kasireddy, Burcu Akinci, and Paul Fieguth, “A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure,” Advanced Engineering Informatics, 2015. View at Publisher · View at Google Scholar
  • Iraide Lopez, Salvador Ceballos, Josep Pou, Jordi Zaragoza, Jon Andreu, Inigo Kortabarria, and Vassilios G. Agelidis, “Modulation Strategy for Multiphase Neutral-Point-Clamped Converters,” Ieee Transactions On Power Electronics, vol. 31, no. 2, pp. 928–941, 2015. View at Publisher · View at Google Scholar
  • Siddhartha Kumar Khaitan, and James D. McCalley, “PARAGON: an approach for parallelization of power system contingency analysis using Go programming language,” International Transactions On Electrical Energy Systems, vol. 25, no. 11, pp. 2909–2920, 2015. View at Publisher · View at Google Scholar
  • Laszlo Aszalos, Tamas Mihalydeak, Laszlo Aszalos, and Tamas Mihalydeak, “Correlation clustering by contraction,” Proceedings Of The 2015 Federated Conference On Computer Science And Information Systems, vol. 5, pp. 425–434, 2015. View at Publisher · View at Google Scholar
  • Julian Carrillo, and William Avila, “Assessment of seismic damage of thin and lightly reinforced concrete walls using fractal dimension of cracking,” Earthquake Engineering & Structural Dynamics, 2016. View at Publisher · View at Google Scholar
  • Kwang Baek Kim, Hyun Jun Park, and Doo Heon Song, “Vision-based crack identification on the concrete slab surface using fuzzy reasoning rules and self-organizing,” International Journal of Electrical and Computer Engineering, vol. 6, no. 4, pp. 1577–1586, 2016. View at Publisher · View at Google Scholar
  • Engin Burak Anil, Ozgur Kurc, Burcu Akinci, and James H. Garrett, “Building-information-modeling-based earthquake damage assessment for reinforced concrete walls,” Journal of Computing in Civil Engineering, vol. 30, no. 4, 2016. View at Publisher · View at Google Scholar
  • Ali Fooladi, and Mohammad Reza Banan, “Multifractal Analysis of Crack Propagation in Concrete Specimens Considering the Influence of the Aggregates’ Grading,” Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2016. View at Publisher · View at Google Scholar
  • Krisada Chaiyasarn, Tae-Kyun Kim, Fabio Viola, Roberto Cipolla, and Kenichi Soga, “Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion,” Journal Of Computing In Civil Engineering, vol. 30, no. 3, 2016. View at Publisher · View at Google Scholar
  • Andrik Rampun, Zhili Chen, Paul Malcolm, Bernie Tiddeman, and Reyer Zwiggelaar, “Cmbe13-Selected Papers From The 3Rd International Conference On Computational & Mathematical Biomedical Engineering 2013,” International Journal For Numerical Methods In Biomedical Engineering, vol. 32, no. 5, 2016. View at Publisher · View at Google Scholar
  • Young-Sik Choi, Han Ho Choi, and Jin-Woo Jung, “Feedback Linearization Direct Torque Control With Reduced Torque and Flux Ripples for IPMSM Drives,” Ieee Transactions On Power Electronics, vol. 31, no. 5, pp. 3728–3737, 2016. View at Publisher · View at Google Scholar
  • Christian Koch, Kristina Doycheva, Varun Kasireddy, Burcu Akinci, and Paul Fieguth, “Corrigendum to “A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure” [Advanced Engineering Informatics 29(2) (2015) 196–210],” Advanced Engineering Informatics, vol. 30, no. 2, pp. 208–210, 2016. View at Publisher · View at Google Scholar
  • Xiao Liu, Shan Liao, Zhiwen Xu, Ling Zhu, Fan Yang, and Wanzhu Guo, “Identification and Analysis of the Porcine MicroRNA in Porcine Cytomegalovirus-Infected Macrophages Using Deep Sequencing,” Plos One, vol. 11, no. 3, 2016. View at Publisher · View at Google Scholar
  • Jitesh J. Dhule, Gauri M. Kandalkar, Neelam B. Dhurpate, and Sudhanshu S. Gonge, “Edge Detection Technique Used for Identification of Cracks on Vertical Walls of the Building,” 2015 International Conference on Computing and Network Communications, CoCoNet 2015, pp. 263–268, 2016. View at Publisher · View at Google Scholar
  • Mohammad R. Jahanshahi, Fu-Chen Chen, Chris Joffe, and Sami F. Masri, “Vision-based quantitative assessment of microcracks on reactor internal components of nuclear power plants,” Structure and Infrastructure Engineering, vol. 13, no. 8, pp. 1013–1026, 2016. View at Publisher · View at Google Scholar
  • H. N. Nguyen, T. Y. Kam, and P. Y. Cheng, “Automatic crack detection from 2D images using a crack measure-based B-spline level set model,” Multidimensional Systems and Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Arvin Ebrahimkhanlou, Alireza Farhidzadeh, and Salvatore Salamone, “Multifractal analysis of crack patterns in reinforced concrete shear walls,” Structural Health Monitoring-An International Journal, vol. 15, no. 1, pp. 81–92, 2016. View at Publisher · View at Google Scholar
  • Yang Cai, Zuping Qian, Wenquan Cao, Yingsong Zhang, and Liu Yang, “Electrically Large Resonant Cavity Loaded With E-Negative and u-Negative Metamaterials,” IEEE Antennas and Wireless Propagation Letters, vol. 15, pp. 294–297, 2016. View at Publisher · View at Google Scholar
  • Junwon Seo, James Wacker, and Luis Duque, “Synthesis of Unmanned Aerial Vehicle Applications for Infrastructures,” Journal of Performance of Constructed Facilities, vol. 32, no. 4, 2018. View at Publisher · View at Google Scholar
  • Liberato Ferrara, Estefanía Cuenca, and Antonio Tejedor, “A methodology to assess crack-sealing effectiveness of crystalline admixtures under repeated cracking-healing cycles,” Construction and Building Materials, vol. 179, pp. 619–632, 2018. View at Publisher · View at Google Scholar
  • Stoian, Capatana, Florea, Ghiran, and Gordan, “Fast alternative to gradient computation in the DCT block domain for local binary patterns computation,” 2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings, pp. 1–4, 2018. View at Publisher · View at Google Scholar
  • Francisco Benito Saorin, Isabel Miñano Belmonte, Carlos Parra Costa, Carlos Rodriguez Lopez, and Manuel Valcuende Paya, “QSI Methods for Determining the Quality of the Surface Finish of Concrete,” Sustainability, vol. 10, no. 4, pp. 931, 2018. View at Publisher · View at Google Scholar
  • FuTao Ni, Jian Zhang, and ZhiQiang Chen, “Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning,” Computer-Aided Civil and Infrastructure Engineering, vol. 34, no. 5, pp. 367–384, 2018. View at Publisher · View at Google Scholar
  • Nhat-Duc Hoang, and Quoc-Lam Nguyen, “Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms,” Advances in Civil Engineering, vol. 2018, pp. 1–16, 2018. View at Publisher · View at Google Scholar
  • Nhat-Duc Hoang, “Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–18, 2018. View at Publisher · View at Google Scholar
  • Mingzhu Wang, and Jack C.P. Cheng, “Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques,” Automation in Construction, vol. 95, pp. 155–171, 2018. View at Publisher · View at Google Scholar
  • Luis Duque, James Wacker, and Junwon Seo, “Bridge Deterioration Quantification Protocol Using UAV,” Journal of Bridge Engineering, vol. 23, no. 10, 2018. View at Publisher · View at Google Scholar
  • K. Sreeshan, Dinesh R, and K. Renji, “Enhancement of thermographic images of composite laminates for debond detection: An approach based on Gabor filter and watershed,” NDT & E International, 2019. View at Publisher · View at Google Scholar