一种彩色栅格地图注记识别方法

栅格地图中的注记包含了丰富的地理位置信息，传统的栅格地图注记识别方法在识别过程中将注记和其对应的地理要素相分离，因此难以处理倾斜注记和弯曲注记。以连通域单元为基本处理对象，提出了一种基于几何特征的彩色栅格地图注记识别方法。首先利用连通域单元的方向、尺寸、密度、邻域四个特征提取注记像素集合，然后通过地理要素中心线对非水平注记进行方向确定，最后对注记进行聚类和重新排列，完成注记识别。通过对GoogleMap（谷歌地图）瓦片中的注记进行提取和识别实验，证明了该方法的合理性和有效性。

A Method for Color Raster Map Annotation Recognition

The annotations in raster maps contain important geographical location information, but the traditional recognition methods of raster map annotation separate annotations from geographic elements, making it difficult to deal with curved and sloping annotations. This paper proposes a method for color raster map annotation recognition based on geometric features.The method considers the orientation, size, density, and neighborhood of the connected components to extract annotation pixels, then correct s the direction by extracting the centerline of geographical elements, clustering, and rearranging annotations before finishing the recognition. We use GoogleMap in experiments, the proposed method was effective.