Skip to main content
SpringerLink
Log in

Objective pilling evaluation of nonwoven fabrics

  • Published:
Fibers and Polymers Aims and scope Submit manuscript

Abstract

A pilled nonwoven fabric image consists of brightness variations caused by high frequency noise, randomly distributed fibers, fuzz and pills, fabric surface unevenness, and background illumination variance. They have different frequency and space distributions and thus can be separated by the two-dimensional dual-tree complex wavelet transform reconstructed detail and approximation images. The energies of the six direction detail sub-images, which capture brightness variation caused by fuzz and pills of different sizes, quantitatively characterize the pilling volume distribution at different directions and scales. They are used as pilling features and inputs of neural network supervised classifier. The initial results based on a nonwoven wool fabric standard pilling test image set, the Woolmark®, SM 50 Blanket set, suggest that this objective pilling evaluation method developed by the combination of pilling identification, characterization method and neural network supervised classifier is feasible.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. “Annual Report-2003 Highlights-Textiles”, Wool Research Organization of New Zealand, Christchurch, New Zealand, 2003.

  2. M. Latifi, H. S. Kim, and B. Pourdeyhimi, Text. Res. J., 71, 640 (2001).

    CAS  Google Scholar 

  3. S. Palmer and X. Wang in “Computational Textile” (X. Zeng, Y. Li, D. Ruan, and L. Koehl Eds.), p.23, Springer, Berlin, 2007.

    Chapter  Google Scholar 

  4. I. W. Selesnick, R. G. Baraniuk, and N. G. Kingsbury, IEEE Signal Proc. Mag., 11, 123 (2005).

    Article  Google Scholar 

  5. S. Cai and K. Li, “Wavelet Software”, Polytechnic University, Brooklyn, 2007.

    Google Scholar 

  6. “MATLAB”, The MathWorks Inc., 2004.

  7. “MATLAB Wavelet Toolbox”, The MathWorks Inc., 2004.

  8. K. Hornik, Neural Networks, 4, 251 (1991).

    Article  Google Scholar 

  9. “Best Practice Guidelines for Developing Neural Computing Applications”, Electronics and Engineering Division, Department of Trade and Industry, London, 2004.

  10. “MATLAB Neural Network Toolbox”, The MathWorks, Inc., 2004.

Download references

Author information

Authors and Affiliations

  1. Centre for Material and Fibre Innovation, Deakin University, Geelong, Australia

    Junmin Zhang & Xungai Wang

  2. Institute of Teaching and Learning, Deakin University, Waterfront Campus, Geelong, Australia

    Stuart Palmer

Authors
  1. Junmin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xungai Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stuart Palmer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xungai Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, J., Wang, X. & Palmer, S. Objective pilling evaluation of nonwoven fabrics. Fibers Polym 11, 115–120 (2010). https://doi.org/10.1007/s12221-010-0115-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12221-010-0115-8

Keywords

Search

Navigation