2D勒瓦娄哇石核的自动分类算法图像处理与应用  

2D LEVALLOIS CORE AUTOMATIC CLASSIFICATION METHOD

作　　者：高雅 陈哲扬 付慧[1] 汪国平 唐世华 Gao Ya;Chen Zheyang;Fu Hui;Wang Guoping;Tang Shihua(School of Information Science and Technology,Beijing Forestry University,Beijing 100083,China;Department of Archaeology,University of Southampton,Southampton SO171BF,United Kingdom;School of Computer Science,Peking University,Beijing 100871,China;National Defense University Joint Operations College,Shijiazhuang 050084,Hebei,China)

机构地区：[1]北京林业大学信息学院,北京100083 [2]南安普顿大学考古系,英国南安普顿SO171BF [3]北京大学计算机学院,北京100871 [4]国防大学联合作战学院,河北石家庄050084

出　　处：《计算机应用与软件》2025年第2期248-255,共8页Computer Applications and Software

基　　金：国家重点研发计划项目(2017YFB1002601);国家自然科学基金项目(62172013)。

摘　　要：考古学者对2D勒瓦娄哇石核剥片面进行目测分类具有主观性,不能产生标准的、一致的分类结果,故提出并实现一个可自动分类2D勒瓦娄哇石核的算法(2D Levallois Core Automatic Classification,LCAC2D)。计算机进行石核分类的难点在于,如何将勒瓦娄哇石核类型学分类理论转换为能够提取石核的可区分特征且可自动分类的算法程序。LCAC2D算法利用石核剥片面上的拓扑结构构建基于加权有向图的石核剥片面描述模型,进一步优化模型,对勒瓦娄哇石核进行自动或半自动的分类,在66个样本上测试,准确率达77%,结果表明LCAC2D算法首先实现了对2D勒瓦娄哇石核的定量分析。In order to solve the problem that it is subjective for archaeological researchers to classify 2D Levallois core by eyes,which cannot produce standard and consistent classification result,the LCAC2D(2D Levallois Core Automatic Classification)algorithm is proposed,which can automatically classify 2D Levallois core.The difficulty of computer core classification is how to convert the Levallois typology classification theory into an algorithm program that can extract distinguishable features of core and automatically classify them.The LCAC2D algorithm used the topological structure of core flute surface to build a weighted directed graph description model,and further optimized the model.The Levallois core was automatically or semi-automatically classified.It was tested on 66 samples,and an accuracy of 77%was obtained.The results show that the LCAC2D algorithm is the first to achieve quantitative analysis of 2D Levallois core.

关 键 词：勒瓦娄哇技术 石核分类 加权有向图 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]