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A platform for research: civil engineering, architecture and urbanism
Crack Detection on Civil Structure Using Efficient Image Processing and Computer Vision Approach
To prevent human casualties and economic losses, civil structures must be regularly monitored for structural integrity. Drone imagery for civil structure investigation is a rapidly emerging field attracting significant interest in both commercial and scientific sectors. This study focuses on initial image-processing techniques, proposing a novel optical mechanism for precisely detecting external crack patterns in existing structures. The technique, known as derivation-step-based crack recognition, is used in post- processing high-resolution photographs to identify both significant and minor cracks. The method is tested on various civil structures and found to be straightforward, reliable, and capable of accurately identifying even less obvious crack patterns. Following various field trials, we introduced new inspection tools that provide alternative methods to facilitate structure inspection. This study aims to demonstrate how image processing technology can enhance traditional human-made surveys. The author proposed a new method for detecting and measuring crack lengths in structures using computer vision algorithms. The study's findings may help reduce field data inspection efforts.
Crack Detection on Civil Structure Using Efficient Image Processing and Computer Vision Approach
To prevent human casualties and economic losses, civil structures must be regularly monitored for structural integrity. Drone imagery for civil structure investigation is a rapidly emerging field attracting significant interest in both commercial and scientific sectors. This study focuses on initial image-processing techniques, proposing a novel optical mechanism for precisely detecting external crack patterns in existing structures. The technique, known as derivation-step-based crack recognition, is used in post- processing high-resolution photographs to identify both significant and minor cracks. The method is tested on various civil structures and found to be straightforward, reliable, and capable of accurately identifying even less obvious crack patterns. Following various field trials, we introduced new inspection tools that provide alternative methods to facilitate structure inspection. This study aims to demonstrate how image processing technology can enhance traditional human-made surveys. The author proposed a new method for detecting and measuring crack lengths in structures using computer vision algorithms. The study's findings may help reduce field data inspection efforts.
Crack Detection on Civil Structure Using Efficient Image Processing and Computer Vision Approach
Shah, Faisal Mehmood (author) / Shah, Zohaib Mehmood (author) / Janjua, Ghalib (author) / Zhang, Yong Xin (author)
2024-06-03
497849 byte
Conference paper
Electronic Resource
English
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