A Machine Vision Solution for Industrial Application of Abrage Inspection and Diameter Measurement On Yarn Bobbins

IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES Tekstil Ve Konfeksiyon Pub Date : 2022-11-01 DOI:10.32710/tekstilvekonfeksiyon.1106638
E. Gülteki̇n, H. Çelik, L. Dülger, Halil İbrahim Sünbül
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Abstract

The abrage fault inspection and bobbin diameter measurement are very important processes in yarn manufacturing industry. These processes are performed manually, and so they are difficult, low efficient, time-consuming processes. The abrage faults are seen as colour or shade difference on the dyed fabric. This happens when the bobbins including abrage are converted to the fabric form, mistakes in colour differences are seen after dyeing process. An automatic machine vision system was developed for detecting abrage fault, and bobbin diameter from yarn bobbin cross-section view. Image processing software was developed and applied on different sizes of bobbin samples including different types of abrage fault. The success of vision system was statistically evaluated by detecting the bobbin abrage faults with 95.83% accuracy. In addition, the bobbin diameters obtained from the developed image processing algorithm were statistically analysed and the correlation coefficient (R2=0.99) was calculated.
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一种工业应用于纱筒磨屑检测和直径测量的机器视觉解决方案
磨料故障检测和纱线直径测量是纱线生产中非常重要的工序。这些过程是手动执行的,因此它们是困难的、低效率的、耗时的过程。磨损缺陷被看作是染色织物上的颜色或深浅差异。这种情况发生在包括磨料在内的筒子转换成织物形态时,染色过程中出现色差错误。开发了一种自动机器视觉系统,用于从纱线横截面角度检测磨损故障和纱线直径。开发了图像处理软件,并将其应用于不同尺寸、不同类型磨损故障的筒管样品。视觉系统对纱线磨损故障的检测准确率为95.83%。并对所开发的图像处理算法得到的纱线直径进行统计分析,计算相关系数(R2=0.99)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tekstil Ve Konfeksiyon
Tekstil Ve Konfeksiyon 工程技术-材料科学:纺织
CiteScore
1.40
自引率
33.30%
发文量
41
审稿时长
>12 weeks
期刊介绍: Tekstil ve Konfeksiyon, publishes papers on both fundamental and applied research in various branches of apparel and textile technology and allied areas such as production and properties of natural and synthetic fibers, yarns and fabrics, technical textiles, finishing applications, garment technology, analysis, testing, and quality control.
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