基于可变形模型及区域流向分析的等高线自适应矢量化算法

等高线的矢量化一直是地形图自动识别的难点之一．该文对目前图纸矢量化算法进行了总结分析，根据等高线本身所具有的特征，结合人眼对等高线跟踪提取的特点，提出可变形模型跟踪矢量化算法．算法通过初始种子段的生成、可变内力控制及区域流向分析，直接在原地形图上实现等高线的自动矢量化及断点、粘连点的处理．实验证明该方法行之有效且具有很好的稳定性．

Automatic Vectorization of Contour Lines Based on Deformable Model and Field Flow Orientation

Automatic vectorization of contour lines is one of important and difficult issues in the interpretation of topographic maps. Based on the analysis of current vectorization algorithms and the characteristics of contour lines, a novel deformable model of automated tracking is presented. With the seed segment searching and variable forces control, contour lines are vectorized automatically. The tracking algorithm is significant because it is directed by adaptive field gradient flow with global analysis. As a result, the automated disposal of broken and cohering lines can be realized. Unlike other algorithms based on binary images, the proposed method is carried out on the original map directly. Experiments show that the model is practical and robust.