Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Semnan University
2021-11-01
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| Series: | Journal of Rehabilitation in Civil Engineering |
| Subjects: | |
| Online Access: | https://civiljournal.semnan.ac.ir/article_5069_13fe776359e1482027c6742c7b9d09b0.pdf |
| _version_ | 1818285012632469504 |
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| author | Seyyed Hamed Farhang Omid Rezaifar Mohammad Kazem Sharbatdar Alireza Ahmady Fard |
| author_facet | Seyyed Hamed Farhang Omid Rezaifar Mohammad Kazem Sharbatdar Alireza Ahmady Fard |
| author_sort | Seyyed Hamed Farhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T01:01:56Z |
| format | Article |
| id | doaj.art-c15ca47dff6d4c868ee29020bb9046cf |
| institution | Directory Open Access Journal |
| issn | 2345-4415 2345-4423 |
| language | English |
| last_indexed | 2024-12-13T01:01:56Z |
| publishDate | 2021-11-01 |
| publisher | Semnan University |
| record_format | Article |
| series | Journal of Rehabilitation in Civil Engineering |
| spelling | doaj.art-c15ca47dff6d4c868ee29020bb9046cf2022-12-22T00:04:39ZengSemnan UniversityJournal of Rehabilitation in Civil Engineering2345-44152345-44232021-11-01949313210.22075/jrce.2021.21760.14525069Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of StructuresSeyyed Hamed Farhang0Omid Rezaifar1Mohammad Kazem Sharbatdar2Alireza Ahmady Fard3PhD., Faculty of Civil Engineering, Semnan University, Semnan, IranAssociate Professor, Faculty of Civil Engineering, Semnan University, Semnan, IranProfessor, Faculty of Civil Engineering, Semnan University, Semnan, IranAssociate Professor, Faculty of Electronic Engineering and Robotic, Shahrood University of Technology, Shahrood, IranThe 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.https://civiljournal.semnan.ac.ir/article_5069_13fe776359e1482027c6742c7b9d09b0.pdfdigital image processingmachine visiondamage detectiondeflection evaluationautomated inspectionhealth monitoring |
| spellingShingle | Seyyed Hamed Farhang Omid Rezaifar Mohammad Kazem Sharbatdar Alireza Ahmady Fard Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures Journal of Rehabilitation in Civil Engineering digital image processing machine vision damage detection deflection evaluation automated inspection health monitoring |
| title | Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures |
| title_full | Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures |
| title_fullStr | Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures |
| title_full_unstemmed | Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures |
| title_short | Evaluation of Different Methods of Machine Vision in Health Monitoring and Damage Detection of Structures |
| title_sort | evaluation of different methods of machine vision in health monitoring and damage detection of structures |
| topic | digital image processing machine vision damage detection deflection evaluation automated inspection health monitoring |
| url | https://civiljournal.semnan.ac.ir/article_5069_13fe776359e1482027c6742c7b9d09b0.pdf |
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