第4期 逢增治，等：全钢子午线轮胎X光图像的缺陷检测研究现状 ·801· CUI Xuehong,LIU Yun,WANG Chuanxu,et al.Defect 法).计算机工程与科学，2007,29(4)：42-44。 classification for tire X-ray images using convolutional CHEN Qin,WANG Tao,LIU Yin.An integer region seg- neural network[J].Electronic measurement technology, mentation method of tyre scenograph[J].Computer engin- 2017,40(5):168-173. eering science,2007,29(4):42-44. [10]黄战华，刘正，朱猛，等.基于统计特征的轮胎纹理缺陷 [19]张茂强.子午轮胎缺陷检测方法与系统设计研究[D] 在线检测).光学技术，2009,35(1)：60-62,66. 济南：山东大学，2014 HUANG Zhanhua,LIU Zheng,ZHU Meng,et al.De- ZHANG Maogiang.Research on detection method and fects on-line detection of tire textures based on statistical system design of radial tire's defects[D].Jinan:Shandong features[J].Optical technique,2009,35(1):60-62,66. University,2014. [11]刘正，轮胎X光检测与多纹理图像分析技术的研究 [20]郑筱智.基于空域与频域结合的轮胎缺陷检测D].济 D1天津：天津大学，2009. 南：山东财经大学，2016. LIU Zheng.Tyre X-ray inspection and multi-textural im- ZHENG Xiaozhi.Tire defect detection based on integra- age analysis technology[D].Tianjin:Tianjin University, tion of spatial and frequency domains[D].Jinan:Shan- 2009. dong University of Finance and Economics,2016. [12]黄战华，刘正，罗文斌，等.基于频谱滤波的多纹理提取 [21]ZHANG Maoqiang,GUO Qiqng,YANG Xingqiang.Tire 算法[J.光电工程，2008.35(8)：51-55. defect detection on impurities[J].Computer aided draft- HUANG Zhanhua,LIU Zheng,LUO Wenbin,et al. ing,design and manufacturing,2014,24(1):32-35. Multi-texture extraction method based on frequency spec- [22]章玲.基于图像放缩算法的轮胎缺陷检测系统研究与 trum filtering[J].Opto-electronic engineering,2008, 实现D].济南：山东大学，2015 35(8):51-55 ZHANG Ling.The research and implementation of tire [13】周欣轮胎子午线故障检测中的图像处理算法研究D]. defection system with image scaling function[D].Jinan 沈阳：东北大学，2014 Shandong University,2015. ZHOU Xin.Research on the algorithms of image pro- [23]李杰.基于轮胎质量检测成像与常见故障识别算法研 cessing in fault diagnosis of the radial tires'cords[D]. 究D1.沈阳：东北大学，2012 Shenyang:Northeastern University,2014. LI Jie.Research on the image of tyres quality test and [14]GUO Qiang,WEI Zhenwen.Tire defect detection using common fault recognition algorithms[D].Shenyang: image component decomposition[J].Research journal of Northeastern University,2012 applied sciences,engineering and technology,2012,4(1): [24]张小丽.轮胎缺陷X光检测图像的处理与识别研究 41-44. D].天津：天津大学，2007. [15]张岩，李涛，李庆领.基于全变分模型的子午线轮胎 ZHANG Xiaoli.Processing and recognition of defects in X射线图像胎侧缺陷自动检测方法[).青岛科技大学 X-ray tire image[D].Tianjin:Tianjin University,2007. 学报（自然科学版），2017,38(3)：106-112 [25]应崎伟.汽车轮胎瑕疵的计算机视觉识别系统D1.杭 ZHANG Yan,LI Tao,LI Qingling.Automatic radial tire 州：杭州电子科技大学，2012 sidewall defect detection in tire X-ray images based on YING Qiwei.Computer version system for tire total variation model[J].Journal of Qingdao University of defects[D].Hangzhou:Hangzhou Dianzi University, Science and Technology (Natural Science Edition),2017, 2012. 38(3):106-112. [26]于向茹，丁健配，李金屏.轮胎帘线交叉重叠缺陷检测 [16]朱越刘文耀，袁晔，等.一种轮胎X射线图像缺陷提取 ).济南大学学报（自然科学版），2017,31(6)：494-498 和分割方法J.光电子.激光，2010,21(5)：758-761. YU Xiangru,DING Jianpei,LI Jinping.Detection of ZHU Yue,LIU Wenyao,YUAN Ye,et al.A defect ex- cross-over cord defect on tire[J].Journal of University of traction and segmentation method for radial tire X-ray im- Jinan (Natural science Edition),2017,31(6):494-498. age[J].Journal of optoelectronics.laser,2010,21(5): [27]袁晔.X光轮胎缺陷自动检测系统的研究D].天津：天 758-761. 津大学，2008. [17刀林佳佳，吴则举，刘中冬.轮胎X射线0号带束层接头 YUAN Ye.X-ray tire defects automatic detection 检测定位量化算法的研究.科学技术与工程，2016， system[D].Tianjin:Tianjin University,2008. 16(25):121-125,136. [28]邵明红.轮胎缺陷检测的处理和算法研究D]济南：山 LIN Jiajia,WU Zeju,LIU Zhongdong.One inspection al- 东大学，2012 gorithm to the splice ofo#belt[J].Science technology and SHAO Minghong.Treatment and algorithm research of engineering,.2016,16(25):121-125,136. tires defects detection[D].Jinan:Shangdong University, [18]陈勤，王涛，刘茵.轮胎透视图的一种整体区域分割方 2012.CUI Xuehong, LIU Yun, WANG Chuanxu, et al. Defect classification for tire X-ray images using convolutional neural network[J]. Electronic measurement technology, 2017, 40(5): 168–173. 黄战华, 刘正, 朱猛, 等. 基于统计特征的轮胎纹理缺陷 在线检测 [J]. 光学技术, 2009, 35(1): 60–62, 66. HUANG Zhanhua, LIU Zheng, ZHU Meng, et al. De￾fects on-line detection of tire textures based on statistical features[J]. Optical technique, 2009, 35(1): 60–62, 66. [10] 刘正. 轮胎 X 光检测与多纹理图像分析技术的研究 [D]. 天津: 天津大学, 2009. LIU Zheng. Tyre X-ray inspection and multi-textural im￾age analysis technology[D]. Tianjin: Tianjin University, 2009. [11] 黄战华, 刘正, 罗文斌, 等. 基于频谱滤波的多纹理提取 算法 [J]. 光电工程, 2008, 35(8): 51–55. HUANG Zhanhua, LIU Zheng, LUO Wenbin, et al. Multi-texture extraction method based on frequency spec￾trum filtering[J]. Opto-electronic engineering, 2008, 35(8): 51–55. [12] 周欣. 轮胎子午线故障检测中的图像处理算法研究 [D]. 沈阳: 东北大学, 2014. ZHOU Xin. Research on the algorithms of image pro￾cessing in fault diagnosis of the radial tires’ cords[D]. Shenyang: Northeastern University, 2014. [13] GUO Qiang, WEI Zhenwen. Tire defect detection using image component decomposition[J]. Research journal of applied sciences, engineering and technology, 2012, 4(1): 41–44. [14] 张岩, 李涛, 李庆领. 基于全变分模型的子午线轮胎 X 射线图像胎侧缺陷自动检测方法 [J]. 青岛科技大学 学报(自然科学版), 2017, 38(3): 106–112. ZHANG Yan, LI Tao, LI Qingling. Automatic radial tire sidewall defect detection in tire X-ray images based on total variation model[J]. Journal of Qingdao University of Science and Technology (Natural Science Edition), 2017, 38(3): 106–112. [15] 朱越, 刘文耀, 袁晔, 等. 一种轮胎 X 射线图像缺陷提取 和分割方法 [J]. 光电子·激光, 2010, 21(5): 758–761. ZHU Yue, LIU Wenyao, YUAN Ye, et al. A defect ex￾traction and segmentation method for radial tire X-ray im￾age[J]. Journal of optoelectronics·laser, 2010, 21(5): 758–761. [16] 林佳佳, 吴则举, 刘中冬. 轮胎 X 射线 0 号带束层接头 检测定位量化算法的研究 [J]. 科学技术与工程, 2016, 16(25): 121–125, 136. LIN Jiajia, WU Zeju, LIU Zhongdong. One inspection al￾gorithm to the splice of 0# belt[J]. Science technology and engineering, 2016, 16(25): 121–125, 136. [17] [18] 陈勤, 王涛, 刘茵. 轮胎透视图的一种整体区域分割方 法 [J]. 计算机工程与科学, 2007, 29(4): 42–44. CHEN Qin, WANG Tao, LIU Yin. An integer region seg￾mentation method of tyre scenograph[J]. Computer engin￾eering & science, 2007, 29(4): 42–44. 张茂强. 子午轮胎缺陷检测方法与系统设计研究 [D]. 济南: 山东大学, 2014. ZHANG Maoqiang. Research on detection method and system design of radial tire’s defects[D]. Jinan: Shandong University, 2014. [19] 郑筱智. 基于空域与频域结合的轮胎缺陷检测 [D]. 济 南: 山东财经大学, 2016. ZHENG Xiaozhi. Tire defect detection based on integra￾tion of spatial and frequency domains[D]. Jinan: Shan￾dong University of Finance and Economics, 2016. [20] ZHANG Maoqiang, GUO Qiqng, YANG Xingqiang. Tire defect detection on impurities[J]. Computer aided draft￾ing, design and manufacturing, 2014, 24(1): 32–35. [21] 章玲. 基于图像放缩算法的轮胎缺陷检测系统研究与 实现 [D]. 济南: 山东大学, 2015. ZHANG Ling. The research and implementation of tire defection system with image scaling function[D]. Jinan: Shandong University, 2015. [22] 李杰. 基于轮胎质量检测成像与常见故障识别算法研 究 [D]. 沈阳: 东北大学, 2012. LI Jie. Research on the image of tyres quality test and common fault recognition algorithms[D]. Shenyang: Northeastern University, 2012. [23] 张小丽. 轮胎缺陷 X 光检测图像的处理与识别研究 [D]. 天津: 天津大学, 2007. ZHANG Xiaoli. Processing and recognition of defects in X-ray tire image[D]. Tianjin: Tianjin University, 2007. [24] 应崎伟. 汽车轮胎瑕疵的计算机视觉识别系统 [D]. 杭 州: 杭州电子科技大学, 2012. YING Qiwei. Computer version system for tire defects[D]. Hangzhou: Hangzhou Dianzi University, 2012. [25] 于向茹, 丁健配, 李金屏. 轮胎帘线交叉重叠缺陷检测 [J]. 济南大学学报(自然科学版), 2017, 31(6): 494–498. YU Xiangru, DING Jianpei, LI Jinping. Detection of cross-over cord defect on tire[J]. Journal of University of Jinan (Natural science Edition), 2017, 31(6): 494–498. [26] 袁晔. X 光轮胎缺陷自动检测系统的研究 [D]. 天津: 天 津大学, 2008. YUAN Ye. X-ray tire defects automatic detection system[D]. Tianjin: Tianjin University, 2008. [27] 邵明红. 轮胎缺陷检测的处理和算法研究 [D]. 济南: 山 东大学, 2012. SHAO Minghong. Treatment and algorithm research of tires defects detection[D]. Jinan: Shangdong University, 2012. [28] 第 4 期 逄增治，等：全钢子午线轮胎 X 光图像的缺陷检测研究现状 ·801·