Automatic Identification of lyocell and cotton fibers

摘要：

Based on image processing, cluster analysis is applied in this study to identifying lyocell and cotton fibers. First of all, two indirect parameters are established by the factor analysis. Secondly, the three-dimensional surface of probability and the distribution map of probability density are established. Finally, according to the contour lines and distance, the clusters of lyocell and cotton fibers in the distribution map of probability density are segmented. The experiment showed that the accuracy of auto-identification is above 95 percent.

关键词： lyocell and cotton three-dimensional surface of probability the distribution map of probability density

作者: RongWu Wang JiaLiang Yan XiongYing Wu ShanYuan Wang

作者单位: College of Textiles, Donghua University, Shanghai, 200051, China College of Textiles, Donghua University, Shanghai, 200051, China Shanghai Entry-Exit Inspection and

会议类型: 国际会议

会议名称: International Conference on Fibrous Materials 2009,the Fiber Society 2009 Spring Conference(纤维材料国际研讨会暨纤维协会2009年春季会议)

会议地点: 上海

会议语种:英文

页码: 690-692

在线出版日期: 2009-05-27（万方平台首次上网日期，不代表论文的发表时间）