彩色公路交通地图图像道路提取  

Road extraction from color highway traffic map images

作　　者：海涛[1] 鲍远律[2] 

机构地区：[1]安徽工程科技学院电气工程系,安徽芜湖241000 [2]中国科学技术大学自动化系,合肥230026

出　　处：《计算机工程与应用》2009年第12期190-192,共3页Computer Engineering and Applications

基　　金：国家高技术研究发展计划(863)No.2007AA11Z222;中国科学院复杂系统与智能科学重点实验室开放课题No.20080105~~

摘　　要：根据彩色公路交通地图的图像特征,提出一种新颖的道路识别与提取方法。这种方法包括三个关键步骤。首先,根据区域的特征,提取出区域的灰度值;其次,根据道路的颜色和形状特征以及数字图像处理的一些方法(如对象的连通成分等),识别并提取出道路的颜色;最后,为了获得完整的道路网络,一些道路连接方法被提出。这种算法已经被应用于许多彩色公路地图图像中去提取道路网络。大量成功的实例表明这个算法是非常有效的。A novel algorithm is proposed,which may recognize and extract efficaciously the road network from paper-based color highway traffic map images.This algorithm includes three key steps.Firstly,according to the features of the non-road regions,the luminance of the non-road regions is extracted.Secondly,based on the color and shape features of roads,the colors of the road network are recognized and extracted,which taking advantage of some digital image processing technologies such as connection component.Finally,some methods are put forward to connect some road segments in order that the whole road networks are obtained.This algorithm has been applied to many highway traffic map images.It is shown that the algorithm is effective in various successful cases.

关 键 词：道路提取 连通成分 公路交通地图 地图图像特征 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]