摘要
形状是反映物体特征信息的重要载体，形状描述的主要目的在于提取用以估计区域的特征信息．针对一个典型的二值计算机视觉问题即交通标志的识别进行研究，提出了基于集合变换（即数学形态学和二值有序统计）的形状几何特征的数值描述，并用以描述交通标志的内核形状的特征．４种相应的形状识别方法被应用于交通标志的识别．
Shape is a prime carrier of information characterizing an object of interest. The main subject of shape description is to extract the features of shape that are efficient to estimate a region. Many shape description schemes have been proposed and used in computer vision in the past. In this paper, main attention is focused on a practical problem of typical binary computer vision, i.e., traffic sign recognition. New shape description methods are proposed and used to characterize the shapes of traffic signs, called as quantitative descriptions of geometric features of shape, which are based on the theories of set transform and binary rank statistics. In this procedure, mathematical morphological transforms and binary rank order transform are employed, and four kinds of shape matching methods are presented. Experimental results show that the proposed methods are efficient and robust.
出处
《信息与控制》
CSCD
北大核心
1997年第1期73-80,共8页
Information and Control
关键词
形状
几何特征
数值描述
交通标志
模式识别
shape, quantitative description of geometric features , set transform, binary rank statistics,traffic signs, inner shape
