Trademark Image Retrieval Using Weighted Region Information Entropy

摘要：

　　This paper describes a new trademark image retrieval method based on the weighted region information entropy.In the first stage,image is rotated according to principal orientation,and the object region in the rotated image is extracted.Then,the object region is partitioned into a lot of sub-blocks along its circle orientation.In the third stage,the weighted information entropy of each partitioned region is computed,which construct a feature vector for describing the shape of the image.Finally,the Euclidean distance is adopted to measure the similarity between the images based on the feature vector of each image obtained.Experiment results show that this method can keep good invariance under translation,rotation,and scale,and the retrieved results match human visual perception very well.

关键词： trademark image retrieval principal orientation weighted region information entropy

作者: Qiangqiang Sun Zhen Ma Bin Dong

作者单位: Department of Computer Science and Technology, Binzhou University, Binzhou,Shandong,China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 949-953

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）