Statistical Analysis and Application of Six Characteristic Parameters in the Automatic Identification System
On the basic of correlation analysis and cluster analysis of six characteristic parameters in the automatic identification system of ramie and cotton fibers,it is demonstrated that six characteristic parameters are not inter-independent and they can be sorted three categories,which reflect the common characteristics of projected strips in longitudinal view.These common characteristics are applied to identification of cotton and Lyocell fibers with more obvious differences in longitudinal view.The probability distribution curves are stable and with obvious threshold in identification of cotton and Lyocell,which supports that six characteristic parameters are still effective.As a result,experiment supports that identification accuracy rate is over 95%.
Fiber identification Longitudinal view Characteristic parameters Statistical analysis
Jialiang Yan Rongwu Wang Xiongying Wu Shanyuan Wang
College of Textiles,Donghua University,Shanghai 201620,China College of Textiles,Donghua University,Shanghai 201620,China;Shanghai Entry-Exit Inspection and Quar
国际会议
杭州
英文
2008-10-15(万方平台首次上网日期,不代表论文的发表时间)