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作 者:LING Aihua WANG Junwen LU Jiaming LIU Ruyu
机构地区:[1]Shanghai Aircraft Manufacturing Co.,Ltd.,Shanghai,201324,China [2]School of Computer Science and Engineering,Tianjin University of Technology,Tianjin,300384,China [3]School of Information Science and Technology,Hangzhou Normal University,Hangzhou,311121,China
出 处:《Optoelectronics Letters》2025年第3期183-187,共5页光电子快报(英文版)
基 金:supported by the Innovation Foundation of National Commercial Aircraft Manufacturing Engineering Technology Research Center(No.COMAC-SFGS-2022-1877);in part by the National Natural Science Foundation of China(No.92048301)。
摘 要:Cabin cables,as critical components of an aircraft's electrical system,significantly impact the operational efficiency and safety of the aircraft.The existing cable segmentation methods in civil aviation cabins are limited,especially in automation,heavily dependent on large amounts of data and resources,lacking the flexibility to adapt to different scenarios.To address these challenges,this paper introduces a novel image segmentation model,CableSAM,specifically designed for automated segmentation of cabin cables.CableSAM improves segmentation efficiency and accuracy using knowledge distillation and employs a context ensemble strategy.It accurately segments cables in various scenarios with minimal input prompts.Comparative experiments on three cable datasets demonstrate that CableSAM surpasses other advanced cable segmentation methods in performance.
关 键 词:image segmentation aircraft cabin automatic segmentation automated segmentation cabin cablesas civil aviation cabins cable segmentation knowledge distillation
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] V243.5[自动化与计算机技术—计算机科学与技术]
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