A novel method for road network automatic acquisition from color urban raster map image
called objects feature method(OFM)of roads acquisition
is proposed to meet the demand of transforming raster maps into vector maps. The proposed method includes three key steps based upon the fact that an urban raster traffic map image is composed of roads
non-road regions and noises. The image is normalized based on the features of the roads and regions
that is
the colors of all roads and regions are replaced respectively with a uniform color. Then the pixels with other colors are regarded as noises
and four noise classification measures are adopted to eliminate the noises in the normalized image. The whole road network is finally constructed by connecting roads from the normalized image and the connectivity of road network. Compared with other methods
OFM is insensitive to colors of geographic objects
and may be applied to some different types of map images. Experiments show that OFM can extract the whole road network from some map images in less time. For example
OFM uses only 32.593 s in extracting the whole road network from the Hefei city color map image.
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