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23 August 2024 Study on denoising and enhancement of crane bolt images based on UAV acquisition
Guodong Chen, Mingtao Guo, Yuxiang Lin, Honglin Mu, Wenlong Yu, Xing Jin, Yanfei Wu, Haining Xiong, Jinxun Lin, Mingwei Huang
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Proceedings Volume 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024); 132500M (2024) https://doi.org/10.1117/12.3038515
Event: 4th International Conference on Image Processing and Intelligent Control (IPIC 2024), 2024, Kuala Lumpur, Malaysia
Abstract
This study examines the use of UAV technology to capture images of construction crane bolts and process them for denoising and enhancement. Traditional image acquisition methods often struggle to capture clear bolt images due to the variability of the construction site environment. To address this issue, this study employs UAVs for automated image acquisition, resulting in significantly improved efficiency and image quality. To tackle potential noise and illumination issues in the resulting images, this paper presents a range of image pre-processing techniques. These include median filtering, mean filtering, Gaussian filtering, and efficient denoising methods such as the C-BM3D algorithm. Additionally, histogram equalization and image enhancement strategies based on the Retinex theory are employed to further optimize image quality. The experimental results indicate that both the C-BM3D algorithm and the improved Retinex algorithm have a significant effect on enhancing image clarity. This study’s findings are important not only for improving the safety and efficiency of construction sites but also for advancing image processing technology.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Guodong Chen, Mingtao Guo, Yuxiang Lin, Honglin Mu, Wenlong Yu, Xing Jin, Yanfei Wu, Haining Xiong, Jinxun Lin, and Mingwei Huang "Study on denoising and enhancement of crane bolt images based on UAV acquisition", Proc. SPIE 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024), 132500M (23 August 2024); https://doi.org/10.1117/12.3038515
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KEYWORDS
Image enhancement
Tunable filters
Denoising
Digital filtering
Image processing
Image filtering
Image quality
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