基于Hu矩和TF-KSURF的多测度青铜器铭文相似性度量方法  

Multi-Measure Similarity Method for Interpreting Bronze Inscriptions Based on Hu Moment and TF-KSURF

作　　者：商立丽 王慧琴[1] 王可[1] 王展 Shang Lili;Wang Huiqin;Wang Ke;Wang Zhan(School of Information and Control Engineering,Xi′an University of Architecture and Technology,Xi′an,Shaanxi 710055,China;Shaanxi Institute for the Preservation of Culture Heritage,Xi′an,Shaanxi 710075,China)

机构地区：[1]西安建筑科技大学信息与控制工程学院,陕西西安710055 [2]陕西省文物保护研究院,陕西西安710075

出　　处：《激光与光电子学进展》2021年第8期115-123,共9页Laser & Optoelectronics Progress

基　　金：教育部归国留学人员科研扶持项目(K05055);陕西省文物局项目(Z20180301);陕西省科技厅国际科技合作计划(2020KW-012);陕西省教育厅重点项目(18JT006);西安市科技局项目(GXYD10.1)。

摘　　要：针对单一特征无法表征铭文全部信息的问题,提出一种基于全局Hu矩和局部聚类加权加速鲁棒特征(TFKSURF)的多测度青铜器铭文相似性度量方法。通过提取Hu矩特征描述子与加速鲁棒特征(SURF)矩阵,获取铭文图像的全局与局部特征;利用K-means算法和加权策略对局部SURF进行聚类加权,构建TF-KSURF向量;最后设定两种测度的权重,形成多测度相似性度量,并将其应用于青铜器铭文的图像检索。实验结果表明,与单一特征测度相比,所提多测度相似性度量方法能够准确分析铭文的整体特征,提高了铭文的检索性能。Because a single feature cannot represent all of the information contained in an inscription image,a method for evaluating bronze inscription images using multi-measurement similarity is proposed in this study.This method is based on the global Hu moment as well as local term frequency-inverse document frequency(TF-IDF)and K-means speeded-up robust features(SURF),referred to as cluster weighted SURF(TF-KSURF).By extracting the Hu moment feature descriptor and the SURF matrix,the global and local features of the inscription image are obtained simultaneously.In addition,the K-means algorithm and weighting strategy are used to cluster and weight the local SURF to construct the TF-KSURF vector.The weights of the two measures are set to form a multimeasure similarity function,which is applied to image retrieval of bronze inscriptions.The experimental results show that compared with the single feature measure,the proposed multi-measure similarity method can be used to accurately analyze the overall characteristics of the inscriptions and to improve the retrieval performance.

关 键 词：图像处理 青铜器铭文 HU矩 加速鲁棒特征 相似性度量 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]