CAJ | 학술논문

为提高纤维图像自动采集和识别系统对纺织品中Lyocell纤维的识别准确率,在该系统上采集了散纤维、纱线、织物中Lyocell纵向图像并进行识别,分析提取了4个纵向特征参数,即纤维直径变异系数、纤维骨架方向变化率、纤维光泽取向系数、纤维光泽取向系数分布曲线,用于表征不同纺织品中纤维纵向特征差异.分析得出了经过不同纺织和染整加工后,Lyocell纤维纵向显微图像在这4个特征参数上有显著差异,为系统自动识别算法提供了依据.
위제고섬유도상자동채집화식별계통대방직품중Lyocell섬유적식별준학솔,재해계통상채집료산섬유、사선、직물중Lyocell종향도상병진행식별,분석제취료4개종향특정삼수,즉섬유직경변이계수、섬유골가방향변화솔、섬유광택취향계수、섬유광택취향계수분포곡선,용우표정불동방직품중섬유종향특정차이.분석득출료경과불동방직화염정가공후,Lyocell섬유종향현미도상재저4개특정삼수상유현저차이,위계통자동식별산법제공료의거.
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.