Abstract :
In recent years, with the aid of computer technology, geographical information system (GIS), which has the ability to handle a large amount of geographical data in it. In particular, substantial efforts are devoted to the conversion of paper-based map into computer readable from which is suitable for input into GIS. This paper puts forward a novel algorithm, which may extract efficaciously the colors of the road network from paper-based highway map images. This algorithm includes several 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, the gray-scale morphology´s dilation operator and a median filter are applied to eliminate some thin and small objects of the map image. Finally, taking advantage of some digital image processing technologies such as connection component and thinning algorithm, the colors of the road network are recognized and extract accurately. This algorithm has been applied to many highway traffic map images. It is shown that the algorithm is effective in various cases successfully.
Keywords :
feature extraction; geographic information systems; image colour analysis; median filters; computer technology; connection component algorithm; dilation operator; feature extraction; geographical information system; gray-scale morphology; highway traffic map images; median filter; paper-based map; road network color extraction; thinning algorithm; Data mining; Filters; Geographic Information Systems; Gray-scale; Image converters; Information systems; Morphology; Road transportation; Shape; Telecommunication traffic; color extraction; connection component; dilation operator; features of the map image; highway traffic map; median filter; road network;
