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基于二维灰度图象的道路区域获取方法 被引量:2

Approach to Getting Road Area Based on 2D Gray Image
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摘要 针对二维灰度图象给出了一种获取道路区域的方法。首先基于边缘特性利用灰度直方图把初始生长点限定在道路区以内,然后确定区域生长阈值,以待生长点与已生长邻点的灰度接近性和已生成区域的均值接近性作为生长准则,形成准确的道路区域。 A method of getting road area from2D gray image is presented.Confine the original growing point inside the road area by using gray-level histogram based on edge characteristics.Select thresholds for region growing and form the accurate road area according to the gray-level closeness of the growing point with the grown adjacent point and that of the growing point with the gray average of the grown area.
出处 《计算机工程与应用》 CSCD 北大核心 2003年第16期230-232,共3页 Computer Engineering and Applications
基金 黑龙江省自然科学基金资助(编号:F00-13)
关键词 灰度图象 区域分割 道路图象 地面自主车辆 gray image,region segmentation,road image,Autonomous Land Vehicle(ALV)
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参考文献3

  • 1边肇祺.模式识别[M].北京:清华大学出版社,1986..
  • 2J Le Moigne et a1.Image Processing for Visual Navigation of Roadways[R].University of Maryland,Tech Report 138,1985---07.
  • 3Steven Seida.ALV Closeup:Finding Road When Offroad.Martin Marietta Information & Communication Systems[C].In:Proceedings of SPIE Mobile Robots,1988;1007.

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  • 1黄庆明,张田文,潘少静.基于色彩学习的彩色图象分割方法[J].计算机研究与发展,1995,32(9):60-64. 被引量:23
  • 2朱永文,王立辉,娄寿春.测向交会定位跟踪的保精度空间区域划分[J].空军工程大学学报(自然科学版),2006,7(3):30-33. 被引量:3
  • 3Murray D,Little J.Using Real-time Stereo Vision for Mobile Robot Navigation[J].Autonomous Robots,2000,8(2):161-171.
  • 4Zhang Z,Deriche R,Faugeras O,et al.A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry[J].Artificial Intelligence J,1995,78:87-119.
  • 5Chow Y H,Ronald C.Obstacle Avoidance of Legged Robot Without 3D Reconstruction of the Surroundings[R].Hong Kong:The Chinese University of Hong Kong,1999:2316-2321.
  • 6Murray D,Jennings C.Stereo Vision Based Mapping and Navigation for Mobile Robots[A].Proc of IEEE Conf on Robotics and Automation[C].Albuquerque,1997:1694-1699.
  • 7Mathies L,Brown E.Machine Vision for Obstacle Detection and Ordnance Recognition[A].Proc of Annual Meeting of the Association for Unmanned Vehicle Systems[C].Orlando,1996:1780-1785.
  • 8Xu Y C,Wang R B,Li B,et al.A Vision Navigation Algorithm Based on Linear Lane Model[A].Proc of IEEE Intelligent Vehicles Symposium 2000[C].New York,2000:240-245.
  • 9Badal S,Ravela S.A Practical Obstacle Detection and Avoidance System[A].Proc of the Second IEEE Workshop[C].Sarasota,1994:97-104.
  • 10卢发兴,高波,邢昌风,王国根.测量站数量对多站测向交叉定位精度的影响[J].火力与指挥控制,2011,36(2):69-72. 被引量:13

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