Abstract:

To improve the identification rate of Lyocell fiber in different textiles when using Fiber Image Automatically Captured and Identified System, the longitudinal images of Lyocell fiber in bulk, yarn and fabric were automatically captured and identified. Four longitudinal characteristic parameters of the fiber, including diameter variation coefficient, change ratio in skeleton direction, the luster tropism coefficient and distributing curves, were analyzed and extracted to express their longitudinal differences. It was shown that Lyocell fiber’s micro-images in bulk, yarn or fabric changed obviously in the four characteristic parameters when they were processed through spinning, knitting, weaving, dyeing and finishing. This study provides a basis for automatic identification algorithm.