Identification and Classification of Textiles Based on Terahertz Time Domain Spectroscopy
CAO Bing-hua1,FAN Meng-bao2, JING Sheng-yu2
1. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China 2. School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
Abstract：A method to discriminate textiles was proposed based on terahertz time-domain spectroscopy(THz-TDS) and clustering analysis, and some typical cotton textiles were investigated to prove its feasibility. Their time domain waveforms were measured using THz-TDS system and then their absorption spectra were obtained. Principal component analysis(PCA) was applied to extract features of the data, and then Mahalanobis distance discriminant method was employed to classify these materials. The results show that this method can classify these five textiles accurately. It indicates that the method to classify textiles is feasible which combines PCA and Mahalanobis distance discriminant method based on their THz absorption spectra. The proposed method has a potential for identifying textiles of similar composition.
曹丙花1，范孟豹2，荆胜羽1 . 基于太赫兹波时域光谱技术的纺织材料鉴别和分类技术研究 [J]. 光谱学与光谱分析, 2010, 30(07): 1748-1751.
CAO Bing-hua1,FAN Meng-bao2, JING Sheng-yu2 . Identification and Classification of Textiles Based on Terahertz Time Domain Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(07): 1748-1751.
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