Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures

Document Type : Regular Paper


1 Department of civil engineering, Semnan University, Semnan, Iran

2 Faculty of Civil Engineering, Semnan University, Iran

3 Faculty of Civil Engineering, Semnan University, Semnan, Iran

4 Department of Electronic Engineering and Robotic, Shahrood University of Technology, Shahrood, Iran


The application of Digital Image Processing (DIP) and computer vision is increasing in civil engineering branches nowadays. By implementing DIP methods, analyzation, and detection of intended objects and elements on the images will be done. So, these methods can be used for automatic inspection and decreasing manpower's direct controls on structures and infrastructures. This paper will study the application of DIP such as health monitoring and damage detection in structures. After reviewing various researches in this field, a classification including five classes was done. These classes including 1-identification and evaluation of the crack, 2-identification and evaluation of defects in steel structures, 3-identification and evaluation of other imperfections and defects, 4-deflection, deformation, and vibration assessment, and 5-identification of texture, dimensions, elements, and components. The researches also are classified based on various aspects such as the implemented methods, specification of images, the performance of the method, and so on. Finally, after investigating the shortage of researches, the future suggestion for researchers was made.


Main Subjects

Articles in Press, Accepted Manuscript
Available Online from 04 May 2021
  • Receive Date: 15 November 2020
  • Revise Date: 07 March 2021
  • Accept Date: 04 May 2021