基于组合平均差异系数的粮食种子识别  

Grain seeds identification based on mean of combination coefficient of shape difference

作　　者：洪亮[1] 

机构地区：[1]中国矿业大学(北京)机电与信息工程学院,北京100083

出　　处：《红外与激光工程》2014年第4期1344-1351,共8页Infrared and Laser Engineering

基　　金：国家自然科学基金(51074169)

摘　　要：植物种子图形是典型的具有一定对称性的准凸边界平面图形,发展对其简单而快速的识别方法有实际意义。利用图形的伪最小外接矩形及形心提取其8个形状特征参数。提出"形状差异系数"的概念并据此实现了多特征图形对象间相似性的度量。提出"对内形状差异系数"的概念并据此发展了多特征图形对象"二选一"的识别方法。提出"组合平均差异系数"的概念并据此发展了多特征图形对象"多选一"的识别方法。用大米等种子的识别实验验证了该方法的有效性。A seed′s graphic usually has a quasi-convex boundary and symmetry, the development of its simple and rapid identification methods have practical significance. Using the pseudo minimum bounding rectangle （PMBR） and centroid, 8 of a object′s feature informations were extracted. Based on the coefficient of shape difference （COSD）, the similarity between multi-feature objects were measured. Based on the COSD in a class couple, a multi-feature graphic object ＆quot;alternative＆quot; identification method was developed. Based on the mean of combination coefficient of shape difference （MOCCOSD）, a multi-feature graphic object ＆quot;one of many＆quot; identification method was proposed. Identifications of rice and other seeds validated the methods.

关 键 词：伪最小外接矩形 图形对象类 类间区分度 形状差异系数 组合平均差异系数 pseudo minimum bounding rectangle(PMBR) COEFFICIENT of SHAPE DIFFERENCE ( COSD ) mean of combination COEFFICIENT of SHAPE difference(MOCCOSD) 

分 类 号：O235[理学—运筹学与控制论]