Photo sensor simulation.pdf (446.12 kB)
Simulation of photosensor-based hairiness measurement using digital image analysis
journal contribution
posted on 2013-10-14, 13:17 authored by Yasar A. Ozkaya, Memis Acar, Michael JacksonThe hair-counting technique using photosensors is a common method to measure the hairiness of the yarns. However, the literature recognizes some deficiencies of the technique regarding the sensor limitations. This paper describes a computer vision approach to simulate the photosensors and to investigate the parameters effecting the hairiness measurement when using these sensors. An algorithm developed to simulate the photosensor signals is explained. The effects of sensor resolution, signal threshold level and selection of zero reference positions from the core are investigated. The correlation between the measurements taken from two different sides of the yarn core is also examined. Twenty yarn samples are tested using a Zweigle G565 hairiness tester, and the results are compared with the hairiness measurements from the simulated photosensor system using digital images.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
OZKAYA, Y.A., ACAR, M. and JACKSON, M.R., 2008. Simulation of photosensor-based hairiness measurement using digital image analysis. Journal of the Textile Industry, 99 (2), pp. 93 - 100.Publisher
Taylor and Francis / © The Textile InstituteVersion
- AM (Accepted Manuscript)
Publication date
2008Notes
This article was published in the serial, Journal of the Textile Institute [Taylor and Francis / © The Textile Institute]. The definitive version is available at: http://dx.doi.org/10.1080/00405000701462443ISSN
0040-5000Publisher version
Language
- en