利用形状与空间位置特征检索二值商标图象

Binary Trade-Mark Retrieval Using Shape Feature and Spatial Relationship

为了充分利用商标图象的内部信息 ,以提高商标图象的检索精度 ,提出了一种综合利用商标形状特征与其内部空间位置关系特征来检索二值商标图象的方法 .由于二值商标属于人工图象 ,大多数二值商标都是由一些边界分明的几何形状体构成 ,因此可把二值商标图象看作是由一些具有显著形状特征的区域构成的集合体 .对这些集合体首先利用矩特征进行形状的相似性度量 ,然后利用投影分类的方法匹配空间位置关系 .该方法基于这一思想 ,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 ,将整个检索过程分为初级检索与检索求精两个阶段 .由于该方法保证了整体与局部的一致性 ,因此具有很好的检索精度 .与仅仅利用图象的形状特征进行检索的实验结果相比 。

This paper presents a trade mark retrieval method in which the shape feature and spatial relationship are both used for the purpose of making full use of image info and improving retrieval precision. Since trade mark is artificial image and it usually consists of several geometric figures which have sharp edges, so we can look on trade mark as a combination of such regions. For these combinations, invariant moment is used to measure the shape similarity between two trade marks firstly and then the spatial relationship inside the combinations is matched by the way of project clustering. The method mentioned in the paper is just based on the idea, considering both the shape feature and spatial relationship of each part of trade mark at the same time. The whole retrieval process is then divided in two stages, i.e., rough retrieve and refine retrieve. Since we take the two factors of trade mark into account simultaneously, so we can ensure the consistency in both the whole and local sides. Compared with the way of only using shape feature to retrieve images, the results of experiment show this method has higher precision and the output accords with people's visual feeling better.