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Digital image processing and illumination techniques for yarn characterization
journal contributionposted 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.
- Mechanical, Electrical and Manufacturing Engineering
Published inJOURNAL OF ELECTRONIC IMAGING
Pages? - ? (13)
CitationOZKAYA, 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.
PublisherCopyright 2005 Society of Photo Optical Instrumentation Engineers.
- VoR (Version of Record)
Publisher statementThis 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/
NotesThis 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.