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摘要: 针对扫描地形图的点状符号, 提出了一种基于距离变换进行提取和识别的新方法. 首先优化分版图的提取结果, 根据弯曲密度和线划密度过滤掉非点状符号的线划, 利用加壳变换和蜕皮变换进行点状符号的图文分离. 然后根据加权距离函数来度量符号的全局特征, 由骨架线的一致性来度量符号的几何形状特征, 并结合这两个特征来识别点状符号. 最后, 提出了错切文字注记和线状要素注记的识别方法.Abstract: This paper presents a new method of extracting and identifying point-shaped symbols of scanned topographic maps based on distance transformation. First, we optimize the extracting results of element maps, and filter the lines which do not meet the features of point symbols according to camber density and line density, and detach the symbols from the map based on shelling transformation and molting transformation. Next, we measure the whole features of symbols by a weighed distance function and the geometry shape feature by the consistence of symbol skeleton, and identify symbols by these two features. The algorithm can identify the shear transform Chinese character and annotations of line symbols.
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Key words:
- Topographic map /
- point-shaped symbol /
- distance transformation /
- line camber /
- symbol skeleton
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