基于多视角图像的纱线条干均匀度测量方法  

Yarn unevenness measurement method based on multi-view images

作　　者：扶才志 曹鸿艳 廖文皓 李忠健 黄琪翔 蒲三成 FU Caizhi;CAO Hongyan;LIAO Wenhao;LI Zhongjian;HUANG Qixiang;PU Sancheng(Institute of Artificial Intelligence,Shaoxing University,Shaoxing,Zhejiang 312000,China;Zhuji JSE Textile Machinery Company Limited,Shaoxing,Zhejiang 311800,China;Suzhou Tumi Intelligent Information Technology Co.,Ltd.,Jiangsu 215000,China)

机构地区：[1]绍兴文理学院人工智能研究院,浙江绍兴312000 [2]诸暨市捷速尔纺织机械有限公司,浙江绍兴311800 [3]苏州市图米智能信息科技有限公司,江苏苏州215000

出　　处：《纺织学报》2024年第3期49-57,共9页Journal of Textile Research

基　　金：浙江省基础公益研究计划项目(LGG21F030007);中国博士后科学基金面上资助项目(2020M681736);绍兴文理学院科研启动项目(20195026);绍兴文理学院校级科技重点项目(2019LG1006);中国纺织工业联合会科技指导性项目(2022009)。

摘　　要：为能更精确地表征纱线条干三维特征,实现纱线条干均匀度的质量评估,采用多视角图像对纱线条干均匀度的测量进行研究。首先选择5种不同线密度的环锭纺纯棉纱,通过搭建多视角纱线图像获取装置,实现纱线多个角度的图像采集;其次对获取的4个方向的纱线图像进行自动阈值分割、图像自动裁剪、毛羽快速清除以及孤立区域去除等处理,得到清晰、无噪点的纱线主干图像;最后求得纱线主干的单视角与多视角直径、CV值,并提出新的表征纱线条干不匀的多视角不匀均值(CV_(n))指标和三维条干变异系数(S)指标。其数据结果与乌斯特条干仪的测试结果对比表明:2种测试方法检测的纱线直径相差不大,都随着线密度的减小而减小;单视角和多视角下,0.3 mm片段长度下纱线直径CV值、8 mm片段长度下纱线直径CV值与乌斯特条干仪测得的结果趋势变化一致;提出的三维条干变异系数S虽大于乌斯特条干仪测得的CV值,但总体趋势保持一致。Objective The performance of yarn directly determines the quality of the fabric,and the unevenness of yarn is an important indicator for evaluating yarn quality.Testing and analyzing yarn unevenness is a necessary aspect for controlling and improving yarn quality.However,as a typical linear heterogeneous material,yarn is difficult to accurately characterize its actual performance by simply detecting its volume or single direction projection using existing detection instruments.In order to more accurately represent the three-dimensional features of yarn,a method based on multi-view yarn images is proposed to measure and evaluate the yarn unevenness.Method An image acquisition device with single camera was constructed to obtain images of yarn from multiple view angles,before the obtained yarn images in four directions were processed sequentially through automatic threshold segmentation,image automatic cropping,rapid removal of hairiness,and removal of isolated areas.A clear and noise-free image of the yarn core was obtained.Single-and multi-view diameters and CV values were read from the yarn core image,and new multi-view unevenness mean(CV_(n))indicators and three-dimensional unevenness variation coefficient(S)indicators were proposed based on the elliptical model to characterize yarn unevenness.Results The unevenness of five cotton ring spun yarns with different linear densities was tested and compared with the test results of Uster tester.The results showed that the difference in yarn diameter detected by the two testing methods is not significant,both illustrating diameter decreases as the linear density was decreased.The average diameters measured from four single perspectives was quite consistent,indirectly indicating that the diameter testing process of the proposed method is correct.The yarn diameter measured by the proposed method was slightly smaller than that measured by the Uster tester,mainly because of the use of image processing operations to remove hairiness.The results also showed that CV 0.3 mm,CV

关 键 词：纱线质量 条干均匀度 多视角图像 图像分割 椭圆模型 三维检测 

分 类 号：TS103.7[轻工技术与工程—纺织工程]