摘要
在地图图像数学模型的基础上,根据地图中各类对象的颜色特征对地图图像进行规范化处理;在分析地图图像中噪声特征的基础上,利用噪声的自身特征和数学形态学的基本方法来消除地图图像中的噪声,以达到识别与提取完整的道路网络的目的.该方法对道路欠识别进行了处理,并以实例来验证其对道路网络识别与提取的过程及其效果.
This paper studies a raster image of city traffic map method on the recognition and extraction of road network from a color Based on the mathematical, model of the map image, according to the object color features on the color map image, we first make a normalization processing to the image. Then the noise characteristics on the color raster map are analyzed, By integrating the noise characteristics with the gray-scale morphology＇s operator, an effective method is proposed in the paper. This method can wipe out the noises on the color raster map image. Thereby, the recognition and extraction of the road network layer from the color raster city traffic map image can be implemented. An example is also given in the paper to show the effectiveness of the recognition and extraction process
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2005年第9期2010-2014,共5页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(60272040)
关键词
模式识别
栅格地图
道路提取
颜色特征
噪声特征
灰度形态学
pattlern rccognition
raster map
road extraction
color feature
noise characteristic
gray-scale morphology
