Abstract
Due to the high turbidity of the water and lack of lighting in deep sea, the image of subsea pipeline are blurred and lack of brightness. In the paper an algorithm is proposed to extract centerline of underwater pipeline using image enhancement and pipeline edge detection. The enhancement module based on the color space transformation is given to improve image contrast. Also the threshold segmentation algorithm is put forward to calculate the parameters of Canny operator for edge detection. The centerline of the pipeline is extracted based on the probabilistic Hough transform. Experimental results show that the proposed algorithm is effective and robust.
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Acknowledgments
This work was supported in part by the Joint Funds of the National Natural Science Foundation of China (No. U1913206) and Shenzhen Science and Technology Program (No. JSGG20211029095205007).
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Zhao, M., Hong, L., Xiao, ZL., Wang, X. (2022). Subsea Pipeline Inspection Based on Contrast Enhancement Module. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13457. Springer, Cham. https://doi.org/10.1007/978-3-031-13835-5_26
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DOI: https://doi.org/10.1007/978-3-031-13835-5_26
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