中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The provenance of nephrite in China based on multi-spectral imaging technology and gray-level co-occurrence matrix

文献类型:期刊论文

作者Chen, Dian1,2; Pan, Ming3; Huang, Wei4; Luo, Wugan1,2; Wang, Changsui1,2
刊名ANALYTICAL METHODS
出版日期2018-09-07
卷号10期号:33页码:4053-4062
ISSN号1759-9660
DOI10.1039/c8ay01274a
通讯作者Luo, Wugan(xiahua@ucas.ac.cn)
英文摘要The provenance of nephrite is the basis for the research, restoration and collection of nephrite artifacts. However, determination of provenance is not easy, because of the overlap of major, minor and trace elements in nephrite from different sources. In recent years, submicrostructural methods have been applied to probe the provenance of nephrite. However, submicrostructural imaging of nephrite could not be well preserved and quantitative analysis of these images could not be easily performed. On the basis of such a situation, this paper first introduces a non-destructive multi-spectral imaging technology, which can be used to directly obtain and record the structural images. Then, a gray-level co-occurrence matrix is adopted to establish a set of parameters to describe the characteristics of nephrite. Finally, multivariate statistical methods, including principal component analysis and hierarchical clustering, are used to achieve a visual result. This study shows that this method is a simple and effective approach to classify a limited number of samples and suggests that the method could be applied to the research on the provenance of nephrite artifacts after further improvement.
WOS关键词NW CHINA ; TEXTURE
资助项目National Natural Science Foundation of China[U1432243] ; Special Foundation for Young Scholar's Teaching and Research in Scientific History at Chinese Academy of Sciences (2015) ; National Social Science Fund of China[17XKG003] ; National Scholarship Fund of China (CSC)[201404910198] ; National Key Research and Development Program of China[2017YFC0803806] ; Central Nonprofit Institutes of Basic Research Program of China[2018JB004]
WOS研究方向Chemistry ; Food Science & Technology ; Spectroscopy
语种英语
出版者ROYAL SOC CHEMISTRY
WOS记录号WOS:000443269700006
资助机构National Natural Science Foundation of China ; Special Foundation for Young Scholar's Teaching and Research in Scientific History at Chinese Academy of Sciences (2015) ; National Social Science Fund of China ; National Scholarship Fund of China (CSC) ; National Key Research and Development Program of China ; Central Nonprofit Institutes of Basic Research Program of China
源URL[http://119.78.100.205/handle/311034/8903]  
专题中国科学院古脊椎动物与古人类研究所
通讯作者Luo, Wugan
作者单位1.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Key Lab Vertebrate Evolut & Human Origin, Beijing 100049, Peoples R China
2.Univ Chinese Acad Sci, Dept Archaeometry, Beijing 100049, Peoples R China
3.Peoples Publ Secur Univ China, Grad Sch, Beijing 100038, Peoples R China
4.Minist Publ Secur, Natl Engn Lab Forens Sci, Inst Forens Sci, Beijing 100038, Peoples R China
推荐引用方式
GB/T 7714
Chen, Dian,Pan, Ming,Huang, Wei,et al. The provenance of nephrite in China based on multi-spectral imaging technology and gray-level co-occurrence matrix[J]. ANALYTICAL METHODS,2018,10(33):4053-4062.
APA Chen, Dian,Pan, Ming,Huang, Wei,Luo, Wugan,&Wang, Changsui.(2018).The provenance of nephrite in China based on multi-spectral imaging technology and gray-level co-occurrence matrix.ANALYTICAL METHODS,10(33),4053-4062.
MLA Chen, Dian,et al."The provenance of nephrite in China based on multi-spectral imaging technology and gray-level co-occurrence matrix".ANALYTICAL METHODS 10.33(2018):4053-4062.

入库方式: OAI收割

来源:古脊椎动物与古人类研究所

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