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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/13355

Title: Simulation of photosensor-based hairiness measurement using digital image analysis
Authors: Ozkaya, Yasar A.
Acar, Memis
Jackson, Michael R.
Keywords: Yarn hairiness
Digital image analysis
Sensor resolution
Issue Date: 2008
Publisher: Taylor and Francis / © The Textile Institute
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.
Abstract: The 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.
Description: 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/10.1080/00405000701462443
Version: Accepted for publication
DOI: 10.1080/00405000701462443
URI: https://dspace.lboro.ac.uk/2134/13355
Publisher Link: http://dx.doi.org/10.1080/00405000701462443
ISSN: 0040-5000
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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