[1]张明恒 王华莹 郭烈.基于改进K—Means算法的车辆识别方法[J].计算机技术与发展,2012,(05):53-56.
　ZHANG Ming-heng,WANG Hua-ying,GUO Lie.Method of Vehicle Detection Based on Improved K-Means Algorithm[J].,2012,(05):53-56.
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基于改进K—Means算法的车辆识别方法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年05期
页码:
53-56
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Method of Vehicle Detection Based on Improved K-Means Algorithm
文章编号:
1673-629X（2012）05-0053-04
作者:
张明恒 王华莹 郭烈
大连理工大学汽车工程学院
Author(s):
ZHANG Ming-heng;  WANG Hua-ying;  GUO Lie
School of Automotive Engineering, Dalian University of Technology
关键词:
K均值; 马氏距离; 车辆检测; Hu矩; 仿射不变距; 车型识别
Keywords:
K-means ; Mahalanobis distance;  vehicle detection;  Hu moment;  Affine invariant moment;  vehicle type recognition
分类号:
TP391.4
文献标志码:
A
摘要:
车辆的检测和识别一直是道路监控、安全辅助驾驶、车辆自主导航等领域的重要研究内容。文中基于机器视觉方法，在Lab颜色空间通过对经典K—Means算法的聚类中心、聚类数和距离测度三方面的改进实现了L分量的聚类，从而达到图像分割的目的。提取图像的矩形度、Hu矩和Affine矩的特征，针对不同的车型建立各自的模板，利用改进Hu不变矩和仿射不变矩的组合不变矩对分割后图像进行车型的识别。实验结果表明，文中提出的方法对于复杂环境下的车辆检测和识别具有良好的可靠性和鲁棒性
Abstract:
Vehicle detection and vehicle recognition is important for the research of road monitoring, driving safety assistance, automatic vehicle navigation and so on. In this paper, an image segmentation method based on improved clustering center, clustering number and distance measurement of classic K-Means algorithm was proposed. Then,rectangle degree,Hu moment and Affme moment of the image characteristics were extracted, and each template of different vehicle types was established, and the vehicle recognition was conducted with combination invadant moments of improved I-Iu moment and Aft＇me invariant moment. Finally, experiments show that the proposed meth- od in this paper for vehicle detection and vehicle recognition has a good reliability and robustness

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备注/Memo

备注/Memo:
中央高校基本科研业务费专项资金（852009）张明恒（1977-），男，辽宁大连人，讲师，硕士研究生导师，研究方向为汽车安全辅助驾驶、智能车辆自主导航、图像处理；王华莹（1987-），女，山东菏泽人，硕士研究生，研究方向为图像处理
更新日期/Last Update: 1900-01-01