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This paper use a color image digital map of Beijing area to do road feature extraction.It takes full advantage of color map by using clustering to get road network highlighted first, and then picks road network out through denoising, and does post processing works by using mathematical morphology algorithms to make road network more clearly.Combined with color map and clustering features to complete extract.Proved by the simulation experiments, the whole process of extraction does work and obtains a good results.

Road Network Extraction and Recognition Using Color Clustering From Color Map Images