| Issue |
Wuhan Univ. J. Nat. Sci.
Volume 29, Number 2, April 2024
|
|
|---|---|---|
| Page(s) | 154 - 164 | |
| DOI | https://doi.org/10.1051/wujns/2024292154 | |
| Published online | 14 May 2024 | |
Computer Science
CLC number: TP391
Portable Structure Surface Crack Detection System Based on Android Platform
1
School of Electronics and Control Engineering, Chang'an University, Xi'an
710000, Shaanxi, China
2
Research Institute of Highway Ministry of Transport, Beijing 100000, China
3
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610000, Sichuan, China
4
Highway School, Chang'an University, Xi'an
710000, Shaanxi, China
† Corresponding author. E-mail: y.tang@rioh.cn
Received:
28
October
2023
Cracks, potholes, and other defects often occur on infrastructure such as bridges, among which cracks are one of the most frequent defects. They have diverse shapes and are difficult to detect. Traditional manual inspection methods are inefficient and have low accuracy, while automated inspection machines are bulky and inconvenient to carry and use. Based on the shortcomings of existing detection technologies, this paper proposes a portable structural surface crack detection system based on the Android platform using a portable handheld image acquisition device. The system captures cracks on the structure's surface and obtains high-definition crack images. Then, these images are transmitted to portable smartphone terminals through Wi-Fi. Next, the image is pre-processed using weighted averaging, grayscale linear transformation, and adaptive median filtering. Then, the improved Canny edge detection algorithm is applied to identify crack information, and the edge segmentation algorithm is used to determine the crack width. Finally, based on camera calibration, the pixels are converted into the length data required for actual measurement. The results show that the system is easy to operate, and it not only has crack storage and tracking functions, but also can effectively measure the crack width on the surface of components. The measurement accuracy of this system reaches the sub-pixel level, and in actual testing, compared with the crack width gauge, the maximum relative error does not exceed 6.25%.
Key words: structural crack / portable / image processing / detection accuracy / crack parameter
Cite this article: WANG Huifeng, PENG Haonan, TANG Yu, et al. Portable Structure Surface Crack Detection System Based on Android Platform[J]. Wuhan Univ J of Nat Sci, 2024, 29(2): 154-164.
Biography: WANG Huifeng, male, Ph.D., research direction: intelligent vehicle environment perception and three-dimensional digital measurement, etc. E-mail: conquest8888@126.com
Fundation item: Supported by Shaanxi Provincial Key Research and Development Program (2024GX-YBXM-288),Foundation:the National Natural Science Foundation of China (52172324), Beilin District Science and Technology Program (GX2350), and the Special Fund Project for Basic Research Business Expenses of Central level Public Welfare Research Institutes (2023-9062)
© Wuhan University 2024
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