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Journal of Rehabilitation in Civil Engineerin، جلد ۹، شماره ۴، صفحات ۹۳-۱۳۲
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عنوان انگلیسی Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Digital Image Processing, Machine vision, Damage Detection, Deflection Evaluation, Automated Inspection, Health monitoring
نویسندگان مقاله Seyyed Hamed Farhang |
PhD., Faculty of Civil Engineering, Semnan University, Semnan, Iran

Omid Rezaifar |
Associate Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran

Mohammad Kazem Sharbatdar |
Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran

Alireza Ahmady Fard |
Associate Professor, Faculty of Electronic Engineering and Robotic, Shahrood University of Technology, Shahrood, Iran

نشانی اینترنتی https://civiljournal.semnan.ac.ir/article_5069_13fe776359e1482027c6742c7b9d09b0.pdf
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