会议论文详细信息
2018 3rd International Conference on Building Materials and Construction
Development of an Automatic Crack Inspection System for Concrete Tunnel Lining Based on Computer Vision Technologies
土木建筑工程
Nguyen, C.K.^1 ; Kawamura, K.^2 ; Shiozaki, M.^3 ; Tarighat, A.^4
Graduate School of Science and Engineering, Yamaguchi University, Japan^1
Graduate School of Science and Technology for Innovation, Yamaguchi University, Japan^2
Sumitomo Mitsui Construction Co., Ltd., Tokyo, Japan^3
Dept. of Civil Engineering, Shahid Rajaee Teacher Training University, Iran^4
关键词: Acquisition device;    Computer vision technology;    Concrete tunnels;    Crack inspection;    Detection software;    Image processing technique;    Image-matching technique;    Interactive genetic algorithm;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/371/1/012015/pdf
DOI  :  10.1088/1757-899X/371/1/012015
学科分类:土木及结构工程学
来源: IOP
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【 摘 要 】

This paper presents an automatic crack inspection system for concrete tunnel lining based on image processing technique and computer vision. The system includes a video image acquisition device, an image stitching software, and a crack detection software. Firstly, the video image acquisition device uses six video cameras and three illuminators mounted on a steel framework which is capable of sliding from side to top of the inspecting vehicle to shoot the full surface of the tunnel lining. Secondly, the image stitching software based on image matching technique was developed to create layout panorama from the tunnel lining surface images, making it easier to visualize a large and detailed section of the tunnel lining. Finally, we propose a semi-automatic crack detection software relied on a combination of image processing technique and interactive genetic algorithm (iGA) to crack detection for concrete surface images of the tunnel lining. Experimental results demonstrate the effectiveness of the proposed method.

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