期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于分水岭变换的粘连交通标志分离算法

Separation algorithm of adhesion traffic signs based on watershed transform
下载PDF
导出
摘要 提出一种最大极值区域(MSERs)结合分水岭变换的粘连交通标志分离算法。首先通过MSERs对图像进行二值化,选取在多个二值图像中形状均保持不变的区域作为候选标志区域;然后,判断是否为粘连标志,若是则用分水岭变换分离;最后提取单个标志。实验结果表明,该算法能够有效分离粘连交通标志,提取到完整的单个交通标志。 A new algorithm for the separation of adhesion traffic signs based on MSERs and watershed transform is proposed.Firstly,the image is binaried by several threshold,the region that keeps unchanged shape is selected as the interest.If the region is a adhesion,watershed transform is used to separate the adhesion.Finally,the single traffic sign is extracted.The experimental results show that our algorithm can effectively separate the adhesion signs,extract single traffic sign.
作者 薛玉利
机构地区 山东青年政治学院信息工程学院
出处 《微型机与应用》 2016年第13期48-50,54,共4页 Microcomputer & Its Applications
关键词 MSERs 分水岭变换 粘连标志 MSERs watershed transform adhesion signs
分类号 TP751 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献5

  • 1SOETEDJO A, YAMADA K. Fast and robust traffic sign detection [ C ]. 2005 IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, HI, USA,2005 : 1341-1346.
  • 2KAMADA H, NAOI S, GOTOH T. A compact navigation sys- tem using image processing and fuzzy control [ J]. in Proc. IEEE Southeast on, New Orleans, LA, 1990(1):337-342.
  • 3AYOAGI Y, ASAKURA T. A study on traffic sign recognition in scene image using genetic algorithms and neural netwo- rks[C].Proceedings of IEEE Int. Conf. Ind. Electron. Con- trol Instrum. Taipei, China : IEEE, 1996 : 1838-1843.
  • 4BUI-MINH T, GHITA A, WHELAN P F, et al. Two algorithms for detection of mutually occluding traffic signs [ C 1 ICCAIS 2012, 2012 International Conference on Control, Automation and Information Sciences, New York- IEEE ,2012 : 120-125.
  • 5李厚杰,邱天爽,宋海玉,贺建军.基于分水岭变换的互相遮挡交通标志自适应分离[J].大连理工大学学报,2014,54(1):100-105. 被引量：3

二级参考文献14

  • 1Mcgelmose A, Trivedi M M, Moeslund T B. Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey [J]. IEEE Transactions on Intelligent Transportation System, 2012, 13(4) :1484-1497.
  • 2Lafuente-Arroyo S, Salcedo-Sanz S, Maldonado- Basc6n S, et al. A decision support system for the automatic management of keep-clear signs based on support vector machines and geographic information systems [J]. Expert System Application, 2010, 37(1) :767-773.
  • 3Mathias M, Timofte R, Benenson R, et al. Traffic sign recognition - How far are we from the solution? [C] // IJCNN 2013, International Joint Conference on Neural Networks. New York: IEEE, 2013.
  • 4Berger M, Forechi A, Souza A F D, et al. Traffic sign recognition with VG-RAM weightless neural networks [C] // 12th International Conference on Intelligent Systems Design and Applications (ISDA). New York:IEEE, 2012:315-319.
  • 5Prisacariu V, Timofte R, Zimmermann K, etal. Integrating object detection with 3D tracking towards a better driver assistance system[C] // ICPR 2010, 20th International Conference on Pattern Recognition. Berlin: Springer, 2010: 3344- 3347.
  • 6Moutarde F, Bargeton A, Herbin A, et al. Robuston-vehicle real-time visual detection of American and European speed limit signs, with a modular traffic signs recognition system [ C] // 21}07 IEEE Intelligent Vehicles Symposium. New York: IEEE, 2007:1122-1126.
  • 7Loy G, Zelinsky A. Fast radial symmetry for detecting points of interest [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(8) :959-973.
  • 8Barnes N, Zelinsky A. Real-time radial symmetry for speed sign detection [C] // 2004 IEEE Intelligent Vehicles Symposium. New York: IEEE, 2004:566-571.
  • 9Loy G, Barnes N. Fast shape-based road sign detection for a driver assistance system [C]//IROS 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems. New York: IEEE, 2004:70-75.
  • 10Bui-Minh T, Ghita O, Whelan P F, et al. Two algorithms for detection of mutually occluding traffic signs[ C ] // ICCAIS 2012, 2012International Conference on Control, Automation and Information Sciences. New York: IEEE, 2012 : 120- 125.

共引文献2

微型机与应用
2016年 第13期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部