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

被引:0
|
作者
Gultekin, Elif [1 ]
Celik, Halil Ibrahim [1 ]
Dulger, Lale Canan [2 ]
Sunbul, Halil Ibrahim [3 ]
机构
[1] Gaziantep Univ, Fac Engn, Text Engn Dept, Gaziantep, Turkiye
[2] Izmir Univ Econ, Fac Engn, Dept Mech Engn, Izmir, Turkiye
[3] KIPAS Mensucat R&D Ctr, Kahramanmaras, Turkiye
来源
TEKSTIL VE KONFEKSIYON | 2024年 / 34卷 / 01期
关键词
Bilinear interpolation; local thresholding; machine vision system; yarn faults; bobbin diameter; FOREIGN FIBERS; DIGITAL IMAGE; COTTON; HAIRINESS; CONTAMINANTS; RECOGNITION; SYSTEM;
D O I
10.32710/tekstilvekonfeksiyon.1106638
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
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 (R-2=0.99) was calculated.
引用
收藏
页码:1 / 10
页数:12
相关论文
共 50 条
  • [1] A Machine Vision Application for Industrial Assembly Inspection
    Jia, Jiancheng
    [J]. 2009 SECOND INTERNATIONAL CONFERENCE ON MACHINE VISION, PROCEEDINGS, ( ICMV 2009), 2009, : 172 - 176
  • [2] Development of a machine vision system for yarn bobbin inspection
    Celik, H. Ibrahim
    [J]. INDUSTRIA TEXTILA, 2016, 67 (05): : 292 - 296
  • [3] USING MACHINE VISION FOR THE INSPECTION OF INDUSTRIAL ASSEMBLIES
    TSATSOULIS, C
    FU, KS
    [J]. NDT INTERNATIONAL, 1986, 19 (04): : 263 - 270
  • [4] Special section on machine vision for industrial inspection
    Tobin, KW
    Miller, JWV
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2001, 10 (01) : 194 - 195
  • [5] AUTOMATED INDUSTRIAL INSPECTION USING MACHINE VISION
    BATCHELOR, BG
    [J]. JOURNAL OF ROBOTIC SYSTEMS, 1987, 4 (01): : 1 - 3
  • [6] Sub-Pixel counting based diameter measurement algorithm for industrial Machine vision
    Poyraz, Ahmet Gokhan
    Kacmaz, Mehmet
    Gurkan, Hakan
    Dirik, Ahmet Emir
    [J]. MEASUREMENT, 2024, 225
  • [7] A Model of Diameter Measurement Based on the Machine Vision
    Tan, Qingchang
    Kou, Ying
    Miao, Jianwei
    Liu, Siyuan
    Chai, Bosen
    [J]. SYMMETRY-BASEL, 2021, 13 (02): : 1 - 15
  • [8] Application of computer vision in industrial inspection system
    Xi Bin
    Wang Zhen-lei
    Qian Feng
    [J]. Proceedings of 2006 Chinese Control and Decision Conference, 2006, : 1446 - 1449
  • [9] Development of Machine Vision Solution for Grading Of Tasar Silk Yarn
    Pal, Abhra
    Dey, Tamal
    Akuli, Amitava
    Bhattacharyya, Nabarun
    [J]. 2013 IEEE SECOND INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP), 2013, : 17 - 20
  • [10] A Direct Measurement Method of Yarn Evenness Based on Machine Vision
    Li, Junjuan
    Zuo, Baoqi
    Wang, Chen
    Tu, Wenxiao
    [J]. JOURNAL OF ENGINEERED FIBERS AND FABRICS, 2015, 10 (04): : 95 - 102