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| Citation: | Yi Weidong, Yu Xinsheng, Cui Shanggong. Analysis method of waterline change from nearshore video images based on ant colony optimization[J]. Haiyang Xuebao, 2016, 38(7): 72-84. doi: 10.3969/j.issn.0253-4193.2016.07.007
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Because of the characteristics of low cost and high spatio-temporal resolution, nearshore video remote sensing technology has become an alternative means for coastal dynamic monitoring in recent years. For nearshore video monitoring, the waterline position can be used as a proxy indicator for mapping the shoreline changes of beach. Under the influence of complex beach terrain and irregular variation of waves and tides, accurate detection of waterline changes from video images has become one of the challenge problems in nearshore video remote sensing. A combined CIELab color model with ant colony optimization algorithm to detect the edge of waterline has been proposed and it has been evaluated under high water level changeduring typhoon storm surge in Shilaoren Beach, Qingdao city. The results of both comparison with traditional methods for edge detection and field images evaluation have showed that the proposed method has better reliability, accuracy and the ability to preserve the detail edges and anti-noise capability, which is particularly suitable for quantifying waterline efficiently. The feasibility of the proposed method for extracting waterline automatically from field video images in extreme weather conditions is demonstrated and it is showed this method is capable to incorporate into an automotive coastal video system for long term shoreline dynamic change monitoring.
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