摘要
本文将商标图像看作是由一些具有显著形状特征的区域构成的集合体,对于这样一个集合体,提出了一种基于形状与空间位置特征的检索方法。该方法既考虑了商标内部各组成部分的形状特征,又兼顾了它们之间的空间位置关系,从而保证了图像局部与整体的一致性,具有很好的检索精度。与仅仅利用图像的形状特征进行检索的实验结果相比,其检索结果更加符合人的视觉感受。
In this paper, trade-mark is regarded as a combination of several geometric regions which have sharp edges. To retrieve such a combination, a method based on its member regions' shape and spatial features is proposed. Since the way considers the shape feature and spatial relationship at the same time, so it can ensure the consistency in both the local and whole sides. Compared with the method of only using shape feature to retrieve the trade-mark, the results of experiment show this way has higher precision and the output accords with people's visual feeling better.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2003年第2期241-246,共6页
Pattern Recognition and Artificial Intelligence