利用熵和矩进行二值商标图象检索

商标图象的检索在图象库系统管理和应用中得到了越来越多的重视。检索商标图象,形状特征的提取是关键。文章提出了一种新的提取商标图象形状特征的算法。该算法从信息论的角度出发,综合利用图象信息熵及不变矩的特性来描述商标图象的形状特征。该方法算法简单,实验证明具有良好的平移、旋转及尺度不变性,且抗干扰性能良好。

Binary Trade-Mark Retrieval Using Entropy and Moment

Trade-marks' retrieval has obtained more and more attention in recent research on content-based manage-ment and utilization of image database system.To retrieve the images,the key is to get the shape features.In this paper,a new method for extracting shape features of trade-marks is presented.Based on the theory of information,the method uses images' entropy and invariant moments to capture the shape and spatial information of images.The algorithm is easy and the experimental results show its invariability with respect to translation,scaling and rotation of objects.What's more,it also has the noise invariance.