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Digital image processing and illumination techniques for yarn characterization

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journal contribution
posted on 2015-11-10, 15:54 authored by Yasar A. Ozkaya, Memis Acar, Michael Jackson
This paper describes various illumination and image pro- cessing techniques for yarn characterization. Darkfield and back-lit illuminations are compared in terms of depth of field tolerance and image quality. Experiments show that back-lit illumination is superior in terms of depth of field tolerance and contrast. Three different back-lit illumination configurations are studied: one simply employ- ing a light source placed behind the yarn, the other incorporating a field lens to increase the light intensity passing through the aperture, and the third using a mirror placed at 45° to the optical axis to enable imaging of two orthogonal views of the yarn core. Problems in defining the hair–core boundaries in high resolution yarn pictures are addressed and a filtering process is introduced for back-lit im- ages. A comparison of the diameter and diameter coefficient of variation percentage measurements for different illumination and im- age processing techniques is given for several yarn samples. The data are also correlated with Premier 7000 diametric irregularity tester and Uster Tester 3 irregularity measurements. © 2005 SPIE and IS&T.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

JOURNAL OF ELECTRONIC IMAGING

Volume

14

Issue

2

Pages

? - ? (13)

Citation

OZKAYA, Y.A., ACAR, M. and JACKSON, M.R., 2005. Digital image processing and illumination techniques for yarn characterization. Journal of Electronic Imaging, 14(2), 023001.

Publisher

Copyright 2005 Society of Photo Optical Instrumentation Engineers.

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2005

Notes

This paper was accepted for publication in the Journal of Electronic Imaging and the definitive published version is available at: http://dx.doi.org/10.1117/1.1902743. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

ISSN

1017-9909

Language

  • en