Two-Staged Method for Ice Channel Identification Based on Image Segmentation and Corner Point Regression

作     者：DONG Wen-bo ZHOU Li DING Shi-feng WANG Ai-ming CAI Jin-yan DONG Wen-bo;ZHOU Li;DING Shi-feng;WANG Ai-ming;CAI Jin-yan

作者机构：School of Naval Architecture and Ocean EngineeringJiangsu University of Science and TechnologyZhenjiang 212003China School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China 

出 版 物：《China Ocean Engineering》 (中国海洋工程（英文版）)

年 卷 期：2024年第38卷第2期

页      面：313-325页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0811[工学-控制科学与工程] 

基　　金：financially supported by the National Key Research and Development Program(Grant No.2022YFE0107000) the General Projects of the National Natural Science Foundation of China(Grant No.52171259) the High-Tech Ship Research Project of the Ministry of Industry and Information Technology(Grant No.342) 

主　　题：ice channel ship navigation identification image segmentation corner point regression 

摘      要：Identification of the ice channel is the basic technology for developing intelligent ships in ice-covered waters,which is important to ensure the safety and economy of *** the Arctic,merchant ships with low ice class often navigate in channels opened up by *** in the ice channel often depends on good maneuverability skills and abundant experience from the captain to a large *** ship may get stuck if steered into ice fields off the *** this circumstance,it is very important to study how to identify the boundary lines of ice channels with a reliable *** this paper,a two-staged ice channel identification method is developed based on image segmentation and corner point *** first stage employs the image segmentation method to extract channel *** the second stage,an intelligent corner regression network is proposed to extract the channel boundary lines from the channel region.A non-intelligent angle-based filtering and clustering method is proposed and compared with corner point regression *** training and evaluation of the segmentation method and corner regression network are carried out on the synthetic and real ice channel *** evaluation results show that the accuracy of the method using the corner point regression network in the second stage is achieved as high as 73.33%on the synthetic ice channel dataset and 70.66%on the real ice channel dataset,and the processing speed can reach up to 14.58frames per second.