Skip to main content
SpringerLink
Log in

Analysis of Basic Characteristics of Textile Yarn Using Image Processing Techniques

  • Conference paper
  • First Online:
Advances in Production (ISPEM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 790))

  • 228 Accesses

Abstract

This paper intends to explore part of the development of a simple and compact system that operates an algorithm based on image processing techniques, concerning the characterization of textile yarn. Specifically, it aims to conclude about parameters such as the diameter, the linear mass, the volume, the imperfections, the twist’s pitch and direction, and the pilosity coefficient. These are considered essential regarding the yarn parametrization for quality control. The main goal of this project was to develop a practical solution based on image processing that arises as innovative in comparison to the existing equipment in the industry.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wang, X.H., Wang, J.Y., Zhang, J.L., Liang, H.W., Kou, P.M.: Study on the detection of yarn hairiness morphology based on image processing technique. Int. Conf. Mach. Learn. Cybern. 5, 2332–2336 (2010)

    Google Scholar 

  2. Carvalho, V., Cardoso, P., Belsley, M., Vasconcelos, R.M., Soares, F.O.: Yarn diameter characterization using two orthogonal directions. Exp. Tech. 35(5), 7–15 (2011)

    Article  Google Scholar 

  3. Sparavigna, A., Broglia, E., Lugli, S.: Beyond capacitive systems with optical measurements for yarn evenness evaluation. Mechatronics 14(10), 1183–1196 (2004)

    Article  Google Scholar 

  4. Carvalho, V., Cardoso, P., Belsley, M., Vasconcelos, R.M., Soares, F.O.: Development of a yarn evenness measurement and hairiness analysis system. In: IECON 2006-32nd Annual Conference on IEEE Industrial Electronics, pp. 3621−3626. IEEE (2006)

    Google Scholar 

  5. Czaplicki, Z.: A new method of measuring twist of yarn. Fibres Text. East. Eur. 14(1), 27–29 (2006)

    Google Scholar 

  6. Behera, B.K.: Image-processing in textiles. Text. Prog. 35, 2–4 (2004)

    Article  Google Scholar 

  7. Bangare, S.L., Dubal, A., Bangare, P.S.: Reviewing Otsu’s method for image thresholding. Int. J. Appl. Eng. Res. 10(9), 21777–21783 (2015)

    Article  Google Scholar 

  8. Pinto, R., Pereira, F., Carvalho, V., Soares, F., Vasconcelos, R.: Yarn linear mass determination using image processing: first insights. In: IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society, vol. 1, pp. 198−203. IEEE (2019)

    Google Scholar 

  9. Pandey, P., Singh, Y., Tripathi, S.: Image processing using principle com-ponent analysis. Int. J. Comput. Appl. 15(4) 2011

    Google Scholar 

  10. Chelishchev, P., Sørby, K.: Estimation of minimum volume of bounding box for geometrical metrology. Int. J. Metrol. Qual. Eng. 11(9) (2020)

    Google Scholar 

  11. Pereira, F., et al.: Intelligent computer vision system for analysis and characterization of yarn quality. Electronics 12(1), p. 236 (2023)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Minho, MEtRICs Research Centre, 4804–533, Guimarães, Portugal

    Marta Rodrigues, Filipe Pereira & José Machado

  2. University of Minho, Algoritmi Research Centre, 4804–533, Guimarães, Portugal

    Filipe Pereira

Authors
  1. Marta Rodrigues
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Filipe Pereira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. José Machado
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to José Machado .

Editor information

Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wrocław, Poland

    Anna Burduk

  2. Liverpool John Moores University, Liverpool, UK

    Andre Batako

  3. School of Engineering, University of Minho, Guimarães, Portugal

    José Machado

  4. Katedra Budowy Maszyn, Politechnika Śląska, Gliwice, Poland

    Ryszard Wyczółkowski

  5. Rzeszow University of Technology, Rzeszów, Poland

    Katarzyna Antosz

  6. Lublin University of Technology, Lublin, Poland

    Arkadiusz Gola

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rodrigues, M., Pereira, F., Machado, J. (2023). Analysis of Basic Characteristics of Textile Yarn Using Image Processing Techniques. In: Burduk, A., Batako, A., Machado, J., Wyczółkowski, R., Antosz, K., Gola, A. (eds) Advances in Production. ISPEM 2023. Lecture Notes in Networks and Systems, vol 790. Springer, Cham. https://doi.org/10.1007/978-3-031-45021-1_16

Download citation

Publish with us

Policies and ethics

Search

Navigation