中文摘要：

由多个彼此分离的轮廓所构成的整体称为一个＂形状群组＂.文中基于一类称作V-系统的正交系,提出一种形状群组的特征描述方法.首先将一个形状群组用V-系统的有限个基函数精确表达出来,然后在频域提取其特征向量,再给出2个形状群组间的相似度量,从而得到一类形状群组的分类检索方法.由于V-系统能够精确重构每个形状群组,因此对形状群组的特征描述是准确可靠的.最后进行了大量的形状群组的分类检索对比实验,结果表明,该方法相比经典的傅里叶描述子、Zernike矩、不变矩和几何中心矩均有明显的优势.

英文摘要：

A shape group is composed of several separate contours.Based on an orthogonal function system called V-system,a novel algorithm for extracting features for shape group is presented.First,a shape group is accurately expressed with finite basis functions of V-system,and then its feature vector is extracted in the frequency domain.Based on extracted feature vectors,similarity measure value between two shape groups is calculated and then a new shape group classification and retrieval method is proposed.As the V-system can accurately reconstruct the shape group,the features of shape group obtained by V-system is accurate and reliable.Experiment results show that the classification and retrieval performance of our method is superior over the classical Fourier descriptor,Zernike moments,invariant moments,and geometric center moments.