Twist Detection Based on Machine Vision

被引：0
|
作者：
Dan, Yongping [1 ]
Liu, Wei [1 ]
Jiang, Chenglong [1 ]
Ge, Yifei [1 ]
Li, Zhuo [1 ]
机构：
[1] Zhongyuan Univ Technol, Sch Elect Informat, 41 Zhongyuan Rd, Zhengzhou 450007, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS) | 2019年
关键词：
yarn twist; linear array CCD; median filtering; Fourier transform;
D O I：
10.1109/icamechs.2019.8861679
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Twist is an important index of yarn, and it is one of the main criteria to evaluate yarn grade. In order to detect the twist more accurately, a twist detection method based on machine vision is proposed, this method through the linear CCD camera to capture images of the yarn. The image is filtered by median filter and Fourier transform in turn. The image after Fourier transform is filtered by Gauss low-pass filter, and then the image is filtered by Gauss low-pass filter. Fourier inverse transform is used to obtain the contour image of the image, finally will obtain the image binarization processing, image can clearly distinguish each twist.
引用
收藏
页码：311 / 314
页数：4
相关论文
共 50 条
  • [31] On-line detection of the product based on machine vision
    Lin, MX
    Song, XC
    Li, Q
    Huang, CZ
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENT, VOL 4, 2002, : 492 - 495
  • [32] Pipeline weld detection system based on machine vision
    Liao, Gaohua
    Xi, Junmei
    HIS 2009: 2009 NINTH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, VOL 3, PROCEEDINGS, 2009, : 325 - 328
  • [33] Detection of The Wounds of The Battery Cathode Based on Machine Vision
    Zhang, Shizong
    Tang, Guozhen
    2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 2, 2014,
  • [34] Research on Road Crack Detection based on Machine Vision
    Liu, Jihong
    Gu, Jiaxin
    Luo, Shan
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 543 - 547
  • [35] Detection and classification of glass defects based on machine vision
    Jiang, Jiabin
    Xiao, Xiang
    Feng, Guohua
    Lu, ZiChen
    Yang, Yongying
    APPLIED OPTICAL METROLOGY III, 2019, 11102
  • [36] Crop-edge detection based on machine vision
    Lei, Zhang
    Mao, Wang Shu
    Qi, Chen Bing
    Xia, Zhang Hong
    NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, 2007, 50 (05) : 1367 - 1374
  • [37] Pipe Tread Parameters Detection Based on Machine Vision
    Fan, Junpeng
    Li, Yanlei
    Fan, Hua
    Wang, Xinzhong
    SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018), 2018, 10827
  • [38] Edge Detection of Screw Thread Based on Machine Vision
    Dai, Guocheng
    Wei, Hengzheng
    Luo, Zai
    Jiang, Wensong
    AOPC 2022: OPTICAL SENSING, IMAGING, AND DISPLAY TECHNOLOGY, 2022, 12557
  • [39] Dried Jujubes Online Detection Based on Machine Vision
    Jiang, Jixiang
    Zhou, Jianhua
    ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3, 2013, 655-657 : 673 - 678
  • [40] A Chip Defect Detection System Based on Machine Vision
    Qiao, Xindan
    Chen, Ting
    Zhuang, Wanjing
    Wu, Jinyi
    PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING, 2023, 117 : 555 - 568
12345