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

Document Type : Regular Paper


1 PhD., Faculty of Civil Engineering, Semnan University, Semnan, Iran

2 Associate Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran

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

4 Associate Professor, Faculty 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.


  • The study of researches in the field of digital image processing indicated that this science will increasingly find its place in monitoring and controlling the structures and infrastructures.
  • Research in this area can be classified into five categories as 1- identification and evaluation of crack; 2- identification and evaluation of defects in steel structures; 3- identification and evaluation of other imperfections and defects; 4- evaluation of deflection, deformation, and vibration; 5- identification of texture, dimensions, elements, and components.
  • From the review of various papers, it was concluded that image processing can be performed in two dimensional or three-dimensional model, which parameters such as cracks and surface damage in 3D models can be identified with high precision.
  • In all studies that calculated the deflection and displacement of an elements such as beams; this was done in cases where the images of that element before and after applying the load, exist and the discrepancy was determined by comparing the images in these two stages.


Main Subjects

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