Digital image processing and illumination techniques for yarn characterization
journal contributionposted on 10.11.2015, 15:54 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