地形图点状符号自动识别中不变性特征参数的提取  

Invariant Features Extraction of Map Symbols

作　　者：叶建栲[1] 刘岳[1] 

机构地区：[1]中国科学院地理科学与资源研究所,北京100101

出　　处：《地理科学进展》2001年第S1期88-94,共7页Progress in Geography

摘　　要：特征参数的抽取,是实现地形图中点状符号自动识别的关键。本文根据点状符号在扫描图中可能出现的旋转、缩放等情况,归纳和总结出了４种易于计算的不变性特征,并给出了这些特征的提取方法和部分实验结果。这４种特征参数是:复杂度——用以描述符号外围的复杂程度;扁率——用以反映符号的扁平程度;比重——符号的黑色部分在其整个覆盖区域中所占的比例;偏心率——用以反映符号重心与符号的几何中心的偏离程度。这４种特征参数具有旋转不变性和大小不变性,且便于提取、容易计算。Feature extraction is the key of automated recognition of map symbols. Four two-dimensional invariant features of map symbols are summarized. The methods of the extraction of invariant features and a part of the experiment results are put forward.The four invariant features are the degree of complication of the periphery of the symbols , the breadth length ratio of the symbols, the proportion between the black pixels andall the pixels of a symbol, and the distance between the barycenter and the geometry cen...

关 键 词：地图模式识别 不变性特征 

分 类 号：P284[天文地球—地图制图学与地理信息工程]