Color topographical map segmentation Algorithm based on linear element features

Tiange Liu, Qiguang Miao, Pengfei Xu, Jianfeng Song, Yi-Ning Quan

Abstract: In order to overcome the discontinuity of geographic elements during the digitization of scanned topographic maps, a color map segmentation algorithm, which is used to segment color maps into different layers based on linear element features, is proposed in this paper. Linear elements are regarded as the elementary units in this method. We use background removal, thinning, nodes disconnection, labeling and dilation to get the elementary units. Then the main color, which could accurately represent the color feature of linear element, is extracted for clustering on the basis of Fuzzy c-means algorithm. At last, disconnected nodes are merged into the corresponding layers to keep the continuity of the results. The experimental results show that the proposed algorithm outperforms other segmentation approaches that regarding pixels as the elementary units.

External IDs:dblp:journals/mta/LiuMXSQ16