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Junction extraction on road masks by pruned skeletons

2012-09-26
Cinar, UMUT
KARAMAN, ERSİN
GEDİK, Ekin
ÇETİN, YASEMİN
Halıcı, Uğur
This study proposes a new method to detect road junctions from existing road masks obtained from geospatial databases. Moreover, this method can be used to extract junction points from the road masks generated by automatic or semiautomatic road extraction algorithms. The algorithm is intended to lower the false detection rate by refining the input road mask. Vector space analysis of the pruned road skeleton provides a simple yet robust detection and classification strategy. Empirical results demonstrate the success of the proposed junction extraction model.