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Rapid Detection of Cotton Content Based on Near Infrared Spectroscopy Technology
Li Dejun,Xing Chigang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
The main research object in this paper is cotton-PET blended fabric. The study hopes that the content of cotton can be accurately obtained from the data of only a few near-infrared spectral point. In the research we choose spectra data within 1400nm-2000nm to establish the calibration model. At the time of modeling, we use the method which combine stepwise regression and normalization. The result indicates that the method can not only reduce the influence of fabric structural difference on quantitative analysis, but also achieve a relative accurate analysis of cotton content with the presence of a small amount of wavelength data.