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自然场景中道路交通标志形状的检测与校正 被引量:3

Detection and Correction of Traffic Signs Shape in Nature Scene
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摘要 道路交通标志的自动识别可以应用于车辆的自动或半自动辅助驾驶系统中,为车辆驾驶提供对周围环境的理解。道路情况的复杂性使得交通标志的背景很复杂,加之光照条件的变化以及车辆运行过程中的抖动等,这些都会导致交通标志失真及变形。本文提出一种快速有效的交通标志形状检测及校正算法,先结合颜色和形状信息,有效定位道路标志位置,然后再利用透视变换校正道路标志。实验结果表明,该方法对光照具有很好的鲁棒性,而且能很好地处理相机拍摄角度引起道路标志在图像中的形变问题。 The automatic recognition of traffic signs can be applied to the automatic or semi-automatic auxiliary driving system which can provide the information of surrounding road conditions to the driver. The traffic signs always suffer distortion and deformation problem because of the complexity of road conditions, the changing illumination conditions and the vibrating of car. In this paper, a fast and efficient algorithm is proposed which can locate the position of traffic signs based on the color and shape information, and the traffic signs can be corrected using perspective transformation. Experiment results show that the algorithm is of a good robustness to illumination, and can overcome the distortion problem caused by the unsuitable camera angle.
作者 潘铭星 孙涵
出处 《计算机与现代化》 2016年第2期5-10,共6页 Computer and Modernization
基金 国家自然科学基金资助项目(61203246)
关键词 交通标志 颜色和形状 图像校正 透视变换 traffic signs color and shape image correction perspective transformation
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  • 1朱双东,张懿,陆晓峰.三角形交通标志的智能检测方法[J].中国图象图形学报,2006,11(8):1127-1131. 被引量:32
  • 2Jung C R, Schramm R. Rectangle detection based on a windowed Hough transform [ C ]//Proceedings of Brazilian Symposium on Computer Graphics and Image Processing. Curitiba, Brazil, 2004, XVII: 113-120. 被引量:1
  • 3Illingworth J, Kittler J. A survey of the Hough transform [ J]. Computer Vision, Graphics and Image Processing, 1988,44 ( 1 ) : 87-116. 被引量:1
  • 4Xu Lei, Oja E, Kuhtanen P. A new curve detection method, randomized Hough transform (RHT) [ J]. Pattern Recognition Letters, 1990,11(5): 331-338. 被引量:1
  • 5Daugman J G. High confidence visual recognition of persons by a test of statistical independence [ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993,15 ( 11 ) : 1148-1161. 被引量:1
  • 6Victor Ayala-Ramirez, Carlos H Garcia-Capulin, Arturo Perez- Garcia,et al. Circle detection on images using genetic algorithms [ J ]. Pattern Recognition Letters, 2006,27 (6) : 652- 657. 被引量:1
  • 7Yuen H K, Princen J, Illingworth J,et al. Comparative study of Hough transform methods for circle finding [ J]. hnage and Vision Computing, 1990,8 ( 1 ) : 71 - 77. 被引量:1
  • 8Teutsch C, Berndt D, Trostmann E,et al. Real-time detection of elliptic shapes for automated object recognition and object tracking [C]//Proceedings of the SPIE Conference on Machine Vision Applications in Industrial Inspection. Magdeburg, Germany, 2006, XIV: 171-179. 被引量:1
  • 9Duda Richard O, Hart Peter E. Use of the Hough transformation to detect lines and curves in pictures [ J]. Communications of the ACM, 1972,15(1): 11-15. 被引量:1
  • 10Shih F Y,Pattern Recognition,1999年,32卷,7期,1203页 被引量:1

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