基于LabVIEW的船舶焊缝缺陷图像标注库设计  

Design of Image Annotation Library for Ship Weld Defects Based on LabVIEW

作　　者：杨光[1,2,3,4] 崔书平[3,5] 王建军 刘志峰 Yang Guangl;Cui Shuping;Wang Jianjun;Liu Zhifeng(State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016;Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016;Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169;University of Chinese Academy of Sciences,Beijing 100049;Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016)

机构地区：[1]中国科学院沈阳自动化研究所机器人学国家重点实验室,沈阳市110016 [2]中国科学院网络化控制系统重点实验室,沈阳市110016 [3]中国科学院机器人与智能制造创新研究院,沈阳市110169 [4]中国科学院大学,北京市100049 [5]中国科学院沈阳自动化研究所,沈阳市110016

出　　处：《仪器仪表标准化与计量》2022年第4期19-20,29,共3页Instrument Standardization & Metrology

基　　金：国家重点研发计划项目(2020YFB1712604)。

摘　　要：在船舶安全领域中,由于焊缝缺陷图像样本匮乏,对焊缝缺陷识别检测工作造成严重阻碍,进一步危害船舶安全。本文基于高效、简单、智能的LabVIEW开发平台,利用现场采集的焊缝缺陷图像,构造了具有预处理功能的图像库,为之后缺陷识别工作奠定良好基础。In the field of ship safety,the lack of weld defect image samples poses a serious obstacle to weld defect identification and detection,further endangering ship safety.Based on the efficient,simple and intelligent LabVIEW development platform,the paper constructs an image library with pre-processing function by using the weld defect images collected in the field,so as to lay a favorable foundation for the subsequent defect recognition work.

关 键 词：船舶安全 焊缝缺陷 图像数据库 LABVIEW 

分 类 号：U671.84[交通运输工程—船舶及航道工程] TP391.41[交通运输工程—船舶与海洋工程]