全钢子午线轮胎X光图像的缺陷检测研究现状  被引量:10

Research status of defect detection in X-ray images of all-steel radial tires

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作  者:逄增治 郑修楠 李金屏[1,2,3] PANG Zengzhi;ZHENG Xiunan;LI Jinping(School of Information Science and Engineering,University of Ji’nan,Ji’nan 250022,China;Shandong Provincial Key Laboratory of Network Based Intelligent Computing(University of Ji’nan),Ji’nan 250022,China;Shandong College and University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year,Ji’nan 250022,China)

机构地区:[1]济南大学信息科学与工程学院,山东济南250022 [2]济南大学山东省网络环境智能计算技术重点实验室,山东济南250022 [3]济南大学山东省“十三五”高校信息处理与认知计算重点实验室,山东济南250022

出  处:《智能系统学报》2019年第4期793-803,共11页CAAI Transactions on Intelligent Systems

基  金:国家自然科学基金项目(61701192);山东省重点研发计划项目(2017CXGC0810);山东省科技重大专项(新兴产业)项目(2015ZDXX0801A03);山东省教育科学规划“教育招生考试科学研究专设课题”(ZK1337212B008)

摘  要:全钢子午线轮胎结构复杂,生产过程中会出现多种缺陷,利用图像处理技术能够对全钢子午线轮胎的X光图像进行缺陷检测。为了更清楚地梳理现存算法,对当前全钢子午线轮胎X光图像的缺陷检测算法做了大量调研。首先,对全钢子午线轮胎缺陷检测的研究现状及发展历程做了梳理和回顾;然后,对全钢子午线轮胎缺陷进行分类,根据不同类型的缺陷分别介绍该类缺陷的主要检测方法,并对检测方法进行优缺点分析;最后,指出未来在全钢子午线轮胎缺陷研究领域中面临的挑战,展望了轮胎缺陷检测技术的发展方向。All-steel radial tires have complex structures and there may be many defects in their production process.Image processing technology can be used to detect the defects of all-steel radial tires in X-ray images.In order to better sort out the existing algorithms,we have conducted research into the current defect detection algorithms for X-ray images of all-steel radial tires.First,we studied the current status and development history of defect detection for all-steel radial tires.We then classified the defects of all-steel radial tires,and made an introduction to the main detection methods for these defects according to different defect types,and analyzed their advantages and disadvantages.Finally,we pointed out the challenges in future research and look forward to the development direction of defect detection technology.

关 键 词:全钢子午线轮胎 X光图像 缺陷检测 图像处理 机器学习 字典学习 傅里叶变换 GABOR变换 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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