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基于数学形态学的交通标志自动识别 被引量:15

Automatic recognition of traffic signs based on mathematical morphology
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摘要 本文提出了基于数学形态学理论的交通标志自动识别方法,并研制了一个实验系统.运用数学形态学方法对交通标志的内核形状进行形态处理并提取其形态骨架函数,根据内核形状的形态骨架特征对交通标志进行分类,以达到识别交通标志的目的.实验结果表明形态骨架函数能有效地表达交通标志的内核形状特征,以形态骨架函数作为物体的形状特征进行模式匹配,能较好地识别交通标志.新的形态骨架匹配算法具有位移不变性质。 In this paper, a method for automatically recognizing traffic signs based on mathematical morphology is presented and an experimenatl system is developed. The kernel structure of the traffic signs is processed morphologically to obtain their skeletal functions. According to the skeletal features of the kernel structure, the traffic signs are classified and recognized. Experimental results show that it is suitable to choose the morphological skeletal function as the structural feature of the kernel structure of the traffic signs, and the new matching algorithm is robust because of its translational invariance.
出处 《汕头大学学报(自然科学版)》 1998年第1期90-96,共7页 Journal of Shantou University:Natural Science Edition
关键词 数学形态学 形态骨架函数 交通标志 自动识别 mathematical morphology morphological skeletal function traffic sign kernel structure matching algorithm
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参考文献11

  • 1Plane J L.Traffic engineering handbook.Prentice-Hall.1992.
  • 2Haralick R M,et al.Computer and robot vision.Addision-Wesley.1992.
  • 3Sonka M.et al.Image processing,analysis and machine vision.Chapman & Hall.1996.
  • 4Heijimans H J A M.Morphological image operator. Academic Press.1994.
  • 5Serra J.Image analysis and mathematical morphology.Vol.I.Academic Press.1982.
  • 6Broggi A.A real-time morphological image processor.IEEE Proc.IAPR, 1994.654-658.
  • 7Maragos P A.et al.Morpholoical system for multidimensional signal processing.Proc of IEEE.190.78.690-701.
  • 8Maragos P A.et al.Morpholoical skeleton representation and coding of lanary image,IEEE ASSP.1986.34.1228-1244.
  • 9Dougherty E R.et al.Digital image processing merhods.Marcel Dekker.1994.
  • 10Banerjee S.et al.C-factor:a morphological shape descriptor.Jourmal of Mathematical Imaging and Vision.1994.4(1).43-55.

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