[1]王源 陈亚军[] 蔡彪 王伟.一种基于形态学的路径特征提取算法[J].计算机技术与发展,2006,(07):70-72.
　WANG Yuan,CHEN Ya-jun,CAI Biao,et al.An Algorithm of Lane Features Extraction Based on Morphology[J].,2006,(07):70-72.
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一种基于形态学的路径特征提取算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年07期
页码:
70-72
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Algorithm of Lane Features Extraction Based on Morphology
文章编号:
1673-629X（2006）07-0070-03
作者:
王源1; 2 陈亚军[3] 蔡彪1 王伟2
[1]西华师范大学计算机学院[2]淮南师范学院信息技术系[3]西华师范大学物理与电子信息学院
Author(s):
WANG Yuan;  CHEN Ya-jun;  CAI Biao;  WANG Wei
[1]School of Computer, China West Normal University[2]Information Technology Department, Huainan Teachers College[3]School of Physics ＆ Electronics, China West Normal University
关键词:
形态学; 路径特征提取; 多路径; 最优阈值分割; 开运算
Keywords:
morphology; lane features extraction; multi- lanes; optimization threshold segmentation; opening
分类号:
TP391.41
文献标志码:
A
摘要:
在对原始路径图像进行最优化阈值分割后，使用数学形态学中的开运算对分割图像进行边缘提取．使用腐蚀膨胀、择多黑色算子等形态学运算进行边缘的细线化处理，从而在多路径环境中有效地提取了路径特征。并与Sobel算子、拉普拉斯算子、Prewitt算子等传统方法进行了比较，验证基于形态学的方法具有很好的抗噪性
Abstract:
After segment the original lane image by optimization threshold algorithm get the extraction edge of segmented fields by using opening operation of mathematical morphology. Some morphology operations such as erosion and choosing - roore black operator are used for thinning of edges. As a result, get these lanes features extractions in the case of several lanes image effectively, and have coroparcd this algorithm with some classical ones, those are Sobel operator, Prewitt operator and Laplacian, illustrated the excellent antinoise property of the morphology methods

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备注/Memo

备注/Memo:
四川省教育厅重点项目（2004A102）王源（1971-），男，安徽淮南人，硕士研究生，讲师，研究方向为多媒体技术陈亚军，教授，硕士生导师，研究方向为多媒体技术
更新日期/Last Update: 1900-01-01