光散射学报, 2017, 29 (2): 153, 网络出版: 2017-07-05
印文色料的拉曼光谱检验及基于R软件的聚类分析
The Study of Pigment Classification by Laser Raman Spectroscopy-Based on Cluster Analysis by Software R
摘要
采用激光拉曼光谱技术对10种印文色料进行了测试研究,基于R软件编写测试所需源代码,根据实验所得印文色料的拉曼测量数据,设定不同参数范围后对数据进行聚类分析,从而得到印文色料的分类。与传统方法中根据拉曼特征峰位置进行分类的方法相比,采用R软件对印文色料进行分析是一种更为准确高效的方法。实践中,可采取两者相结合的方式,提高效率。
Abstract
10 kinds of pigment were tested by laser Raman spectroscopy,write code tests based on the R software,according to the experiment resulting,set different parameters for data clustering analysis,thereby obtaining toner printed text classification.Using R software for analysis pigment printed text,is convenient and efficient than the traditional method.In practice,we can take a combination of both methods to improve efficiency.
柳彬, 赵丽, 江沅龙, 王登魁, 郝红光. 印文色料的拉曼光谱检验及基于R软件的聚类分析[J]. 光散射学报, 2017, 29(2): 153. LIU Bin, ZHAO Li, JIANG Yuanlong, WANG Dengkui, HAO Hongguang. The Study of Pigment Classification by Laser Raman Spectroscopy-Based on Cluster Analysis by Software R[J]. The Journal of Light Scattering, 2017, 29(2): 153.