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11 September 2023 Research on bridge defect detection technology based on image processing technology
Zhongyang Sun, Gongwen Li, Xianming Zhang
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791W (2023) https://doi.org/10.1117/12.2689360
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
At present, cable-stayed bridges and suspension bridges are widely used in highway traffic construction in China because of their beautiful lines and strong spanning ability. Cable is an important part of cable-stayed bridges and suspension bridges, and it is the key stress component of this kind of bridges. The traditional method of bridge crack detection mainly relies on manual field investigation, which has the disadvantages of high risk, low accuracy and low efficiency. At present, many crack measurement systems based on digital image processing technology are mostly semi-automatic or highly dependent on manual work, with low efficiency. In this paper, the crack image obtained in the field in the engineering test is used to enhance and de-noise the crack from the image preprocessing, including color image to gray image, image enhancement and image wavelet thresholding de-noising. At the same time, the corresponding contrast image of the crack is given. Then, an adaptive multi-scale watershed segmentation algorithm is proposed. First, the filtered image is processed by multi-scale gradient transformation, Then the gradient image is transformed by adaptive marked watershed transform, and finally the obtained image is combined with improved regions to effectively suppress the over-segmentation phenomenon.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Zhongyang Sun, Gongwen Li, and Xianming Zhang "Research on bridge defect detection technology based on image processing technology", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791W (11 September 2023); https://doi.org/10.1117/12.2689360
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KEYWORDS
Bridges
Image processing
Image segmentation
Image filtering
Image acquisition
Tunable filters
Digital image processing
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