基于线性阵列的纱线直径亚像素细分算法

doi:10.19398/j.att.202106035

现代纺织技术 ›› 2022, Vol. 30 ›› Issue (4): 130-133.DOI: 10.19398/j.att.202106035

基于线性阵列的纱线直径亚像素细分算法

王延蒙, 秦鹏, 张文国

济宁职业技术学院,a.机电工程系;b.济宁市机械系统智能化研究所,山东济宁 272037

收稿日期:2021-06-11 出版日期:2022-07-10 网络出版日期:2022-08-25
作者简介:王延蒙(1991-),男,山东菏泽人,讲师,硕士,主要从事纺织机械自动化设计方面的研究。
基金资助:
山东省高等学校青年创新团队人才引育计划项目(2019189)

Sub pixel subdivision algorithm of yarn diameter based on linear array

WANG Yanmeng, QIN Peng, ZHANG Wenguo

a. Department of Mechanical and Electrical Engineering;b. Jining Mechanical System Intelligent Research Institute, Jining Polytechnic, Jining 272037, China

Received:2021-06-11 Published:2022-07-10 Online:2022-08-25

摘要/Abstract

摘要： 为实现高效高精度测量纱线直径,利用线阵CCD进行纱线直径的检测。首先通过平均滤波算法去除纱线毛羽的影响,其次利用浮动阈值法确定纱线边缘的像素坐标,最后基于高斯积分拟合的方法得到纱线边缘的亚像素坐标。通过制定实验方案,分析细分后的纱线直径与理论直径的偏差率,验证了高斯积分曲线拟合方法的可行性。结果表明:细分后纱线片段的平均直径偏差率为3.19%,条干不匀降低22%。实验结果证实了基于线阵CCD亚像素算法的准确性,为在线测量纱线直径提供了新方法。

关键词: 线性阵列, 纱线直径, 浮动阈值, 高斯积分拟合, 亚像素细分

Abstract: For the purpose of high-precision measurement of yarn diameter, linear CCD was used to detect yarn diameter. Firstly, the average filtering algorithm was adopted to eliminate the influence of yarn hairiness. Secondly, the pixel coordinates of yarn edge were determined through the floating threshold method. Finally, the sub-pixel coordinates of yarn edge were obtained through the Gaussian integral fitting method. After formulating an experimental scheme, analyzing the deviation rate of the subdivided yarn diameter and the theoretical diameter, the feasibility of Gauss integral curve fitting method was verified. The experimental results showed that the average diameter deviation rate of the subdivided yarn segments was 3.19%, and the bar unevenness was reduced by 22%. The experimental results proved the accuracy of sub-pixel algorithm based on linear CCD, and provided a new method for online measurement of yarn diameter.

Key words: linear array, yarn diameter, floating threshold, Gaussian integral fitting, sub-pixel subdivision

中图分类号:

TS112.2

王延蒙, 秦鹏, 张文国. 基于线性阵列的纱线直径亚像素细分算法[J]. 现代纺织技术, 2022, 30(4): 130-133.

WANG Yanmeng, QIN Peng, ZHANG Wenguo. Sub pixel subdivision algorithm of yarn diameter based on linear array[J]. Advanced Textile Technology, 2022, 30(4): 130-133.

参考文献

[1] CHEN J L, DU Z Q. Structural design and performance characterization of stable helical auxetic yarns based on the hollow-spindle covering system[J]. Textile Research Journal, 2020, 90(3/4): 271-281.
[2] 陆永良,杨海军,何良.光电法毛条纤维长度和直径测试方法研究[J].毛纺科技,2014,42(8):49-52.
LU Yongliang, YANG Haijun, HE Liang.Research on test method for fiber length and diameter of wool top of optical analyser[J]. Wool Textile Journal, 2014, 42(8): 49-52.
[3] 程立超,蒋秀明,袁汝旺,等.基于线阵电荷耦合元件的纱线直径测量方法[J].纺织学报,2015,36(6):124-128.
CHENG Lichao, JIANG Xiuming, YUAN Ruwang, et al. Measuring method of yarn diameter based on line array charge-coupled device[J]. Journal of Textile Research, 2015, 36(6): 124-128.
[4] 周国庆,吴锡,袁汝旺,等.基于线阵CCD的纱线核直径提取算法[J].天津工业大学学报,2016,35(2):35-39.
ZHOU Guoqing, WU Xi, YUAN Ruwang, et al. Algorithm of yarn core diameter extraction based on linear array CCD[J]. Journal of Tianjin Polytechnic University, 2016, 35(2): 35-39.
[5] OZKAYA Y A, ACAR M, JACKSON M R. Yarn twist measurement using digital imaging[J]. Journal of the Textile Institute, 2010, 101(2): 91-100.
[6] 张缓缓,严凯,李鹏飞,等.基于机器视觉的纱线质量检测系统设计[J].激光与光电子学进展,2019,56(16):169-174.
ZHANG Huanhuan, YAN Kai, LI Pengfei, et al. Design of yarn quality detection system based on machine vision[J]. Laser & Optoelectronics Progress, 2019, 56(16): 169-174.
[7] 李变变,李忠健,潘如如,等.纱线条干均匀性序列图像测量方法[J].纺织学报,2016,37(11):26-31.
LI Bianbian, LI Zhongjian, PAN Ruru, et al. Measurement of yarn evenness using sequence images[J]. Journal of Textile Research, 2016, 37(11): 26-31.
[8] 张增康,马卫红.基于线阵CCD的纱线毛羽检测[J].上海纺织科技,2017,45(10):43-46.
ZHANG Zengkang, MA Weihong. Detection of yarn hairiness based on linear CCD[J]. Shanghai Textile Technology, 2017, 45(10): 43-46.
[9] 袁汝旺,蒋秀明,周国庆,等.基于线性阵列的纱线直径与毛羽测量方法[J].纺织学报,2013,34(8):132-137.
YUAN Ruwang, JIANG Xiuming, ZHOU Guoqing, et al. Measuring method of yarn diameter and hairiness based on linear array[J]. Journal of Textile Research, 2013, 34(8): 132-137.
[10] 章国红,辛斌杰,张瑞.基于图像分析技术的纱线黑板条干检测[J].棉纺织技术,2016,44(12):19-24.
ZHANG Guohong, XIN Binjie, ZHANG Rui. Detection of yarn blackboard evenness based on image analysis technology[J]. Cotton Textile Technology, 2016, 44(12): 19-24.
[11] 孙银银.基于图像技术的纱线毛羽检测与分析[D].无锡:江南大学,2017.
SUN Yinyin. Yarn Hairiness Detection and Analysis based on image Technology[D]. Wuxi: Jiangnan University, 2017.
[12] 宁小翠.基于机器视觉的纱线外观检测系统的研究[D].西安:西安工程大学,2019.
NING Xiaocui. Research on Yarn Appearance Detection System Based on Machine Vision[D]. Xi'an: Xi'an Engineering University, 2019.
[13] 赵洋,杨丹蕾,刘博宇,等.基于插值和曲面拟合的图像亚像素配准算法[J].长春理工大学学报(自然科学版),2016,39(4):109-112,129.
ZHAO Yang, YANG Danlei, LIU Boyu, et al. An sub-pixel precision registration algorithm based on image interpolation and fitting[J]. Journal of Changchun University of Science and Technology (Natural Science Edition), 2016, 39(4): 109-112, 129.
[14] 关波,王俊元,杜文华,等.刀具轮廓亚像素精度阈值分割算法研究[J].图学学报,2014,35(6):950-953.
GUAN Bo, WANG Junyuan, DU Wenhua, et al. Research on sub-pixel precise thresholding for tool contour extraction[J]. Journal of Graphics, 2014, 35(6): 950-953.
[15] 崔秀梅,张青锋.基于亚像素技术的实验数据处理与分析[J].制造业自动化,2009,31(9):50-52.
CUI Xiumei, ZHANG Qingfeng. The processing and analyzing of experimental data based on sub-pixel technology[J]. Manufacturing Automation, 2009, 31(9): 50-52.

基于线性阵列的纱线直径亚像素细分算法

Sub pixel subdivision algorithm of yarn diameter based on linear array

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