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.
CITATION STYLE
Zhao, M., Hong, L., Xiao, Z. L., & Wang, X. (2022). Subsea Pipeline Inspection Based on Contrast Enhancement Module. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13457 LNAI, pp. 289–298). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-13835-5_26
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