文献类型：期刊文献

英文题名：3-D Measurement of Yarn Unevenness Based on A Low-Cost Multicamera Collaborative System and Signal Analysis

作者：Li, Zhongjian[1];Fu, Caizhi[1];Huang, Wangsen[2];Cao, Hongyan[1];Chen, Zhenze[1];Zou, Zhuanyong[1];Fu, Zhumu[3]

机构：[1]Shaoxing Univ, Inst Artificial Intelligence, Coll Text & Fash, Shaoxing 312000, Peoples R China;[2]Wenzhou Qual & Technol Testing Res Inst, Wenzhou 325000, Peoples R China;[3]Henan Univ Sci & Technol, Coll Informat Engn, Luoyang 471000, Peoples R China

年份：2024

卷号：24

期号：8

起止页码：13343

外文期刊名：IEEE SENSORS JOURNAL

收录：SCI-EXPANDED(收录号：WOS:001279540200001)、、EI(收录号：20241115731521)、Scopus(收录号：2-s2.0-85187364889)、WOS

基金：No Statement Available

语种：英文

外文关键词：Yarn; Cameras; Image segmentation; Sensors; Collaboration; Three-dimensional displays; Calibration; 3-D detection; ellipse model; image segmentation; multicamera; yarn unevenness

外文摘要：The quality of the yarn directly determines the performance of the fabric. Existing methods lack 3-D rapid evaluation of yarn quality. To overcome the above problem, this article designs a low-cost multicamera collaborative system to simultaneously and accurately capture the same segment of yarn image from different perspectives. Specifically, this study introduces a novel yarn image segmentation method, including local vertical interruption, horizontal clearing algorithm, and morphological operation, to accurately obtain the appearance diameter value of the same yarn segment from four views. Subsequently, a 3-D model of a yarn core for solving elliptical parameters based on multiple camera positions is established and validated. Then, the elliptical cross-sectional area of the yarn and its equivalent circular diameter are obtained. Four types with the same kind of yarns are tested using the proposed method and Uster Evenness Tester 5. By comparing the short-term, periodic, and long-term variation of yarn core, including the diameter value, 3-D unevenness coefficient, spectrogram, and variation length curve under different cutting lengths, it is demonstrated that the proposed method is consistent with the Uster measurement results. The experimental results highlight that the proposed method can accurately and effectively evaluate the yarn unevenness.