Automated Separation of Texts and Symbols from Scanned Mining Map Based on Mathematical Morphology 基于数学形态学的矿图扫描图像文字和符号的自动分离
The content of automated generalization is described in detail, and knowledge rules of automated cartographic generalization are established. Based on the knowledge rules, it analyses the main theories and algorithms of research, which includes mathematical morphology and shape analysis. 针对制图综合自动化的内容进行了详细阐述,建立了制图综合自动化的知识规则;然后依据知识规则,分析了有关算法的主要理论和算法依据,主要包括数学形态学和形状等内容。