1998 01 90-96
基于数学形态学的交通标志自动识别
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中文作者单位:
汕头大学人工智能与模式识别开放实验室!汕头,515063,汕头大学人工智能与模式识别开放实验室!汕头,515063,汕头大学人工智能与模式识别开放实验室!汕头,515063
摘要(Abstract):
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,使得识别具有良好的稳健性
关键词(KeyWords):
数学形态学;;形态骨架函数;;交通标志;;内核形状;;匹配算法
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参考文献
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2 Haralick R M, et al. Computer and robot vision. Addision-Wesley. 1992
3 Sonka M, et al, Image processing, analysis and machine vision. Chapman & Hall, 1993
4 Heijimans H J A M. Morphological image operator. Academic Press, 1994
5 Serra J. Image analysis and mathematical morphology. Vol.1, Academic Press, 1982
6 Broggi A. A real-time rnorphological image processor. IEEE Proc. IAPR. 1994, 654-658
7 Maragos P A, et al. Morphological system for multidimensional signal processing. Proc. of IEEE,1990, 78, 690- 701
8 Maragos P A, et al. Morphological skeleton representation and coding of binary irnage, IEEE ASSP,1986, 34, 1228-1244
9 Dougherty E R, et al. Digital image processing methods. Marcel Dekker, 1994
10 Baner jee S, et al. C-factor: a morphological shape descriptor. Jourmal of Mathematical Imagingand Vision. 1994, 4 (1), 43-55
11 Yang P F, et al. Morphological systems for character image processing and recognition. Proc. IEEEICASSP-93, 1993, 97-100
基本信息:
DOI:
中图分类号:U491
引用信息:
[1]蒋刚毅,郑义,郁梅.基于数学形态学的交通标志自动识别[J].汕头大学学报(自然科学版),1998(01):90-96.
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