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12 November 2024 Algorithm for detecting sea sky-line based on watershed segmentation
Xun Zhang, Xuejie Guan, Jing Luo, Yan Zheng
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Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133952M (2024) https://doi.org/10.1117/12.3049147
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
Sea sky-line detection is crucial for unmanned vessel attitude estimation and maritime surveillance target detection to reduce computational complexity. Many existing seas sky-line detection algorithms mainly extract sea sky-lines through edge detection, but these methods are less robust and susceptible to water surface ripple interference. In this paper, we propose a sea sky-line detection algorithm based on watershed segmentation, which uses the local binarization method to locate the sea sky-line region, segments the connectivity region by watershed algorithm, selects the straight-line pixel points, and accurately calculates the slope and intercept of the sea sky-line using the LSD and RANSAC algorithms. The experimental results show that the algorithm can accurately detect horizontal lines with less error and outperforms the other five advanced algorithms.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Xun Zhang, Xuejie Guan, Jing Luo, and Yan Zheng "Algorithm for detecting sea sky-line based on watershed segmentation", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133952M (12 November 2024); https://doi.org/10.1117/12.3049147
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KEYWORDS
Image segmentation
Detection and tracking algorithms
Object detection
Image processing algorithms and systems
Tunable filters
Error analysis
Engineering
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