摘要
地图信息的识别和提取是地理信息系统的基础。研究对彩色城市交通地图中的道路信息进行识别和提取的问题。首先采用改进的模板匹配法去除地图中图例标识对于道路提取造成的干扰;然后根据地图的特征,为清除地图中的噪音,提出了一种基于颜色聚类分析的分离地图要素的算法,将各种地图要素按颜色进行归类,并根据噪声的特征结合采用有效的噪声去除算法实现对地图中道路的识别和提取,最后结果用数学形态学的方法进行优化处理,并进行试验。实验结果表明,该方法可以取得良好的道路提取效果。
Map information recognition and extraction are the foundation of Geographic Information System. This paper researches the recognizing and extracting of roads from the color city traffic maps. Firstly, modified template matching is used to eliminate the interference coming from the legends which is unfavorable to the road extraction. Secondly, according to the characteristics of the map, there is an algorithm to be discussed based on the color clustering, which can classify the different elements in the map by color. Then the effective noise elimination algorithm is adopted to erase the noises in the map. Finally, the mathematical morphology method is used to optimize the result. Good Experimental result is obtained by this means.
出处
《计算机仿真》
CSCD
北大核心
2010年第2期242-246,共5页
Computer Simulation
基金
西南科技大学青年基金项目(08zx3138)
关键词
地图
道路提取
颜色聚类
数学形态学
Map
Road extraction
Color clustering
Mathematical morphology
