纱线毛羽路径匹配追踪检测  

Tracking and detection hairiness path in yarns

作　　者：邓中民[1] 于东洋 胡灏东 李童 柯薇[1] DENG Zhongmin;YU Dongyang;HU Haodong;LI Tong;KE Wei(State Key Laboratory of New Textile Materials and Advanced Processing Technology,Wuhan Textile University,Wuhan,Hubei 430200,China)

机构地区：[1]武汉纺织大学省部共建纺织新材料与先进加工技术国家重点实验室,湖北武汉430200

出　　处：《纺织学报》2022年第9期101-106,共6页Journal of Textile Research

基　　金：湖北省技术创新专项资助项目(2019AAA005)。

摘　　要：针对现有纱线毛羽检测方法无法有效检测弯曲毛羽和交叉毛羽的缺陷,提出一种基于图像法的纱线毛羽路径匹配追踪算法。将采集到的纱线毛羽图像通过预处理、骨干化处理获取毛羽骨干图像,以毛羽端点作为起始点,对其八邻域像素点进行判断获取新的毛羽路径点,重复对毛羽路径点邻域判断直到没有毛羽路径点存在。对毛羽交叉出现多路径点的情况,提出交叉匹配值指标,即根据毛羽交叉点前部分相邻毛羽路径点间斜率并分配动态权重得到毛羽局部斜度,利用交叉匹配值对多路径毛羽点进行匹配获取新的毛羽路径点,通过本文毛羽追踪方法获取毛羽像素数量并转化为毛羽长度。与人工法和投影法检测结果对比表明:本文毛羽追踪检测结果与人工检测毛羽结果误差在4%以内,有效解决了交叉毛羽和弯曲毛羽追踪检测问题,提高了纱线毛羽的检测准确度。Aiming at the problem that the existing yarn hairiness detection methods cannot effectively detect curving and crossing hairiness, this paper presents a yarn hairiness path tracing algorithm based on an image analysis method. The backbone processed images were obtained by the pre-processing followed by backbone processing. The hairiness endpoint was taken as the starting point, and the new hairiness path point was obtained by judging the eight neighboring pixels of hairiness starting point, the neighborhood of hairiness path points was judged repeatedly until no hairiness path points existed. In the case of multi-path intersection of hairiness, the cross-matching value index was proposed. According to the slope of the adjacent hairiness path points in front of the cross point of hairiness and assigning dynamic weight to get the local slope of hairiness, cross-matching value was used to match the multi-path hairiness points to get the new hairiness points, and the number of hairiness pixels was obtained and converted into the hairiness length by the hairiness tracking method. According to the comparison of the detection results coming from the manual method and projection method, the error between the detected result of hairiness tracking and the manual inspection was less than 4%. This result indicated an effective solution to the problem in tracking and detecting the crossing and curving hairiness, improving the detection accuracy of yarn hairiness.

关 键 词：纱线毛羽 路径匹配 八邻域 动态权重 毛羽斜度 毛羽检测 图像法 

分 类 号：TS107[轻工技术与工程—纺织工程]