Automatic crack monitoring using photogrammetry and image processing

被引:99
|
作者
Valenca, J. [1 ,4 ]
Dias-da-Costa, D. [2 ,5 ]
Julio, E. [1 ,6 ]
Araujo, H. [3 ]
Costa, H. [1 ,4 ]
机构
[1] ICIST, P-1049001 Lisbon, Portugal
[2] INESC, P-3000033 Coimbra, Portugal
[3] Univ Coimbra, Dept Elect & Comp Engn, ISR, P-3030290 Coimbra, Portugal
[4] Inst Polytech Coimbra, Dept Civil Engn, P-3030199 Coimbra, Portugal
[5] Univ Coimbra, Dept Civil Engn, P-3030788 Coimbra, Portugal
[6] Univ Tecn Lisboa, Inst Super Tecn, Dept Civil Engn, P-1049001 Lisbon, Portugal
关键词
Laboratorial tests; Crack monitoring; Crack characterisation; Image processing; Photogrammetry; Monitoring;
D O I
10.1016/j.measurement.2012.07.019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This manuscript presents an integrated approach for automatic crack monitoring combining photogrammetry and image processing. In summary, the strain field obtained from photogrammetric data is used to map the cracked areas where image processing is applied. All processing is completely automatic since only a threshold value, related to the width of the crack, needs to be provided. Direct Shear Tests (DSTs) have been selected for calibration, validation and also as an experimental example. In conclusion, critical areas, the corresponding crack pattern and all related measures (e.g. crack width, length, area or path) could be provided for any stage of loading, until the complete failure of the specimens. Furthermore, all outputs require low computational cost, thus allowing monitoring vast campaigns of laboratorial tests. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:433 / 441
页数:9
相关论文
共 50 条
  • [31] CROWD MONITORING USING IMAGE-PROCESSING
    DAVIES, AC
    YIN, JH
    VELASTIN, SA
    ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL, 1995, 7 (01): : 37 - 47
  • [32] Automatic Fabric Fault Detection Using Image Processing
    Khowaja, Anum
    Nadir, Dinar
    2019 13TH INTERNATIONAL CONFERENCE ON MATHEMATICS, ACTUARIAL SCIENCE, COMPUTER SCIENCE AND STATISTICS (MACS-13), 2019,
  • [33] AUTOMATIC CATTLE LOCATION TRACKING USING IMAGE PROCESSING
    Trung-Kien Dao
    Thi-Lan Le
    Harle, David
    Murray, Paul
    Tachtatzis, Christos
    Marshall, Stephen
    Michie, Craig
    Andonovic, Ivan
    2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2015, : 2636 - 2640
  • [34] Automatic recognition of benthic species using image processing
    Soejima, Yuki
    Nishida, Yuya
    Sonoda, Takashi
    Ishii, Kazuo
    ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2018, : 779 - 782
  • [35] Automatic monitoring of pig locomotion using image analysis
    Kashiha, Mohammad Amin
    Bahr, Claudia
    Ott, Sanne
    Moons, Christel P. H.
    Niewold, Theo A.
    Tuyttens, Frank
    Berckmans, Daniel
    LIVESTOCK SCIENCE, 2014, 159 : 141 - 148
  • [36] Automatic monitoring and measuring vehicles by using image analysis
    Wang, WX
    Cui, B
    MACHINE VISION APPLICATIONS IN INDUSTRIAL INSPECTION XIV, 2006, 6070
  • [37] Automatic Monitoring of Pig Activity Using Image Analysis
    Kashiha, Mohammad Amin
    Bahr, Claudia
    Ott, Sanne
    Moons, Christel P. H.
    Niewold, Theo A.
    Tuyttens, Frank
    Berckmans, Daniel
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2013, 2013, 8192 : 555 - 563
  • [38] An automatic image processing based on Hough transform algorithm for pavement crack detection and classification
    Matarneh, Sandra
    Elghaish, Faris
    Al-Ghraibah, Amani
    Abdellatef, Essam
    Edwards, David John
    SMART AND SUSTAINABLE BUILT ENVIRONMENT, 2023, 14 (01) : 1 - 22
  • [39] PTZ Camera-Based Image Processing for Automatic Crack Size Measurement in Expressways
    Shao, Chunyan
    Zhang, Limin
    Pan, Wang
    IEEE SENSORS JOURNAL, 2021, 21 (20) : 23352 - 23361
  • [40] REVOLUTIONIZING PHOTOGRAMMETRY: USING MIRRORS IN SINGLE-IMAGE PHOTOGRAMMETRY
    Alvaro-Tordesillas, A.
    Marcos-Gonzalez, D.
    Alonso Rodriguez, M.
    Alvarez Arce, R.
    Martinez-Vera, M.
    29TH CIPA SYMPOSIUM DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE, VOL. 48-M-2, 2023, : 73 - 78