基于三维扫描技术的计算机辅助陶器类型学研究
发布时间：2018-09-10 17:57
【摘要】：考古类型学是考古学理论的基本内容之一。陶器作为考古学研究中常见的重要实体,各种器物的分型定式是判断考古学文化地区类型和时代的重要因素,这依赖于考古学家的经验和学识。本文利用三维扫描技术获得陶器的三维模型,使用定量分析和椭圆傅里叶分析进行计算机辅助陶器类型学研究是对传统考古陶器类型学研究的辅助和补充,是方法的探索与尝试,为传统考古学研究提供了一个新的工具。本文首先以天马-曲村遗址墓葬出土的陶鬲、盆、豆、罐为样本,通过三维扫描技术获得陶器的三维模型,对初始模型进行处理、定义。使用软件和Visual C++编程进行特征数据提取,提高了提取数据准确性与效率。其次,利用提取的特征数据进行聚类分析。特征尺寸比值数据用于多元统计法的聚类分析,特征曲线数据用于椭圆傅里叶的聚类分析。根据初步聚类结果,结合陶器器型立体结构特征,总结出适合不同种类器型的聚类分析方法。其中,陶鬲首先使用特征尺寸比值聚类分析,之后使用特征曲线椭圆傅里叶分析。陶盆首先使用特征曲线椭圆傅里叶分析,之后使用特征尺寸比值聚类分析。陶豆使用特征尺寸比值聚类分析,特征曲线椭圆傅里叶分析结果作为参考。陶罐使用特征尺寸比值聚类和特征曲线椭圆傅里叶分析结果参考对比。再次,计算机辅助陶器类型学研究的分析结果与考古报告的分型定式结果做对比。对比发现,该结果与考古报告中的结果大部分相符,少部分存在差异。找出出现差异的原因并进行分析,进一步完善优化聚类分析方法。重新利用计算机对陶器进行聚类分析,分析结果接近考古报告的分型定式结果,证实了计算机辅助陶器类型学是可行的。最后,将计算机辅助陶器类型学研究方法应用到甘肃占旗遗址陶器分析中。以该遗址出土的红陶马鞍口罐和平口罐为例,利用特征尺寸比值聚类和特征曲线椭圆傅里叶分析两种数学方法得到的分析结果,结合器型立体特征,设定红陶马鞍口罐和平口罐的分析参数,得出聚类分析结果。该结果为今后该遗址陶器类型学研究提供了参考。
[Abstract]:Archaeological typology is one of the basic contents of archaeological theory. Pottery as a common important entity in archaeological research, the classification formula of various objects is an important factor to judge the type and time of archaeological culture area, which depends on the experience and knowledge of archaeologists. In this paper, the three-dimensional model of pottery is obtained by using three-dimensional scanning technique. The computer-aided study of pottery typology by using quantitative analysis and elliptical Fourier analysis is an aid and supplement to the study of traditional archaeological pottery typology. It provides a new tool for traditional archaeological research. In this paper, the pottery GE, basin, bean and pot unearthed from the tomb of Tianma-Qucun site are taken as samples, and the three-dimensional model of the pottery is obtained by three-dimensional scanning technique, and the initial model is processed and defined. The accuracy and efficiency of feature data extraction are improved by using software and Visual C programming. Secondly, the extracted feature data are used for clustering analysis. The feature size ratio data is used in the clustering analysis of multivariate statistics, and the characteristic curve data is used in the elliptical Fourier clustering analysis. Based on the preliminary clustering results and the stereoscopic structure characteristics of pottery ware, the clustering analysis methods suitable for different types of utensils are summarized. Among them, Tao GE first used characteristic size ratio clustering analysis, and then used elliptical Fourier analysis of characteristic curve. Firstly, the characteristic curve elliptical Fourier analysis is used in the pottery basin, and then the characteristic size ratio cluster analysis is used. The characteristic size ratio cluster analysis and the elliptical Fourier analysis of the characteristic curve are used as reference. The characteristic size ratio clustering and the elliptical Fourier analysis results of the characteristic curve are compared with each other. Thirdly, the analysis results of computer aided pottery typology are compared with the results of the classification formula of archaeological reports. It is found that most of the results are consistent with the results of archaeological reports, and a few are different. Find out the cause of the difference and analyze, further improve the clustering analysis method. The results of cluster analysis of pottery by computer are close to the results of the classification formula of archaeological report, which proves that the computer aided pottery typology is feasible. Finally, the method of computer aided pottery typology is applied to the pottery analysis of Zhanqi site in Gansu province. Taking the Heping pots unearthed from the Red Pottery saddle mouth as an example, the results obtained by the two mathematical methods of characteristic size ratio clustering and characteristic curve elliptical Fourier analysis are used to combine the stereoscopic characteristics of the apparatus. Set the analysis parameters of Hongtao saddle mouth jar and get the result of cluster analysis. The results provide a reference for the future study of pottery typology of the site.
【学位授予单位】：北京科技大学
【学位级别】：博士
【学位授予年份】：2018
【分类号】：TP391.7;K876.3
，
本文编号：2235190
[Abstract]:Archaeological typology is one of the basic contents of archaeological theory. Pottery as a common important entity in archaeological research, the classification formula of various objects is an important factor to judge the type and time of archaeological culture area, which depends on the experience and knowledge of archaeologists. In this paper, the three-dimensional model of pottery is obtained by using three-dimensional scanning technique. The computer-aided study of pottery typology by using quantitative analysis and elliptical Fourier analysis is an aid and supplement to the study of traditional archaeological pottery typology. It provides a new tool for traditional archaeological research. In this paper, the pottery GE, basin, bean and pot unearthed from the tomb of Tianma-Qucun site are taken as samples, and the three-dimensional model of the pottery is obtained by three-dimensional scanning technique, and the initial model is processed and defined. The accuracy and efficiency of feature data extraction are improved by using software and Visual C programming. Secondly, the extracted feature data are used for clustering analysis. The feature size ratio data is used in the clustering analysis of multivariate statistics, and the characteristic curve data is used in the elliptical Fourier clustering analysis. Based on the preliminary clustering results and the stereoscopic structure characteristics of pottery ware, the clustering analysis methods suitable for different types of utensils are summarized. Among them, Tao GE first used characteristic size ratio clustering analysis, and then used elliptical Fourier analysis of characteristic curve. Firstly, the characteristic curve elliptical Fourier analysis is used in the pottery basin, and then the characteristic size ratio cluster analysis is used. The characteristic size ratio cluster analysis and the elliptical Fourier analysis of the characteristic curve are used as reference. The characteristic size ratio clustering and the elliptical Fourier analysis results of the characteristic curve are compared with each other. Thirdly, the analysis results of computer aided pottery typology are compared with the results of the classification formula of archaeological reports. It is found that most of the results are consistent with the results of archaeological reports, and a few are different. Find out the cause of the difference and analyze, further improve the clustering analysis method. The results of cluster analysis of pottery by computer are close to the results of the classification formula of archaeological report, which proves that the computer aided pottery typology is feasible. Finally, the method of computer aided pottery typology is applied to the pottery analysis of Zhanqi site in Gansu province. Taking the Heping pots unearthed from the Red Pottery saddle mouth as an example, the results obtained by the two mathematical methods of characteristic size ratio clustering and characteristic curve elliptical Fourier analysis are used to combine the stereoscopic characteristics of the apparatus. Set the analysis parameters of Hongtao saddle mouth jar and get the result of cluster analysis. The results provide a reference for the future study of pottery typology of the site.
【学位授予单位】：北京科技大学
【学位级别】：博士
【学位授予年份】：2018
【分类号】：TP391.7;K876.3
，
本文编号：2235190
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