Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 103-108, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/103/2012/
doi:10.5194/isprsarchives-XXXIX-B4-103-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Jul 2012
VECTORIZATION OF LINEAR FEATURES IN SCANNED TOPOGRAPHIC MAPS USING ADAPTIVE IMAGE SEGMENTATION AND SEQUENTIAL LINE TRACKING
Y. Yang, X. An, and L. Huang State Key Laboratory of Geoinformatic Engineering, Xi'an Research Institute of Surveying and Mapping, Xi'an, 710054, China
Keywords: Colour map, Vectorization, Sliding window, Image segmentation, Line tracking Abstract. Vectorization of cartographic features is a difficult task in geographic information acquisition from topographic maps. This paper presents a semi-automatic approach to linear feature vectorization directly in original scanned colour topographic maps without layer separation. In the approach, a sliding window is added on a user-given linear feature, and the current line in the window is segmented adaptively by using colour space conversion, k-means clustering and directional region growing. A thinning operation is then performed in the window and the line is tracked from the centre to the edge. By moving the window continuously along the line, vectorization is carried out by iterative operations of image segmentation, thinning and line tracking. Experimental results show that linear features in colour topographic maps can be vectorized rapidly and accurately, especially in those maps with forest tints and relief shadings.
Conference paper (PDF, 486 KB)


Citation: Yang, Y., An, X., and Huang, L.: VECTORIZATION OF LINEAR FEATURES IN SCANNED TOPOGRAPHIC MAPS USING ADAPTIVE IMAGE SEGMENTATION AND SEQUENTIAL LINE TRACKING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 103-108, doi:10.5194/isprsarchives-XXXIX-B4-103-2012, 2012.

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