图像处理技术在纱线毛羽检测方面的应用  

Application of image processing technology in yarn hairiness detection

作　　者：章国红[1] 辛斌杰[1] 

机构地区：[1]上海工程技术大学服装学院,上海201620

出　　处：《河北科技大学学报》2016年第1期76-82,共7页Journal of Hebei University of Science and Technology

基　　金：国家自然科学基金(61271419)

摘　　要：数字图像处理技术是一种可用于纱线检测的新型测试手段,通过计算机图像处理与分析可实现纱线外观的数字化表征和测试自动化。着重介绍了国内外数字图像处理技术在纱线毛羽方面的发展应用现状,并对基于数字图像处理技术的新型测试方法与传统的检测方法进行了比较和分析。与传统的方法相比,基于图像处理技术的纱线检测方法具有客观、快速、准确等优点,是纱线外观检测领域的一个重要发展方向。Digital image processing technology is one of the new methods for yarn detection,which can realize the digital characterization and objective evaluation of yarn appearance.This paper overviews the current status of development and application of digital image processing technology used for yarn hairiness evaluation,and analyzes and compares the traditional detection methods and this new developed method.Compared with the traditional methods,the image processing technology based method is more objective,fast and accurate,which is the vital development trend of the yarn appearance evaluation.

关 键 词：图像处理 数字图像处理 纱线毛羽 客观检测 特征参数 

分 类 号：TS117[轻工技术与工程—纺织材料与纺织品设计]