35—an Instrument for the Study of Yarn Hairiness

Lappage, J.; Onions, W. J.

doi:10.1080/19447026408662417

Cited by 25 publications

(9 citation statements)

References 2 publications

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“…In the past, not much attention has been paid to studies on the hairiness of jute yam [1,2], whereas considerable work has been done on the measurement of the hairiness of cotton and other yams [3][4][5][6][7][8][9][10]. This may have heen due to the absence of any urgency to produce jute goods of better aesthetic appeal.…”

Section: Introductionmentioning

confidence: 99%

An Electronic Instrument for Measuring the Hairiness of Jute Yarn

Ghosh¹,

Das²,

Battacharya³

et al. 1988

Journal of the Textile Institute

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Section: Introductionmentioning

confidence: 99%

An Electronic Instrument for Measuring the Hairiness of Jute Yarn

Ghosh¹,

Das²,

Battacharya³

et al. 1988

Journal of the Textile Institute

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“…In the first group of these devices a number of protruding fibres in a few constant distances from the yarn core is measured. Lappage and Onions [34] built an instrument with a small photo-conductive cell, mounted in the screen, which detects the passage of hair shadows. Nowadays, yarn hairiness is determined by means of the number of interruptions to the light beam (which is parallel to the yarn core) caused by the protruding fibres.…”

Section: Review Of Existing Approaches To Yarn Hairiness Measurementsmentioning

confidence: 99%

Image processing and analysis algorithms for yarn hairiness determination

Fabijańska

Jackowska-Strumiłło

2012

Machine Vision and Applications

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Yarn hairiness is one of the key parameters influencing fabric quality. In this paper image processing and analysis algorithms developed for an automatic determination of yarn hairiness are presented. The main steps of the proposed algorithms are as follows: image preprocessing, yarn core extraction using graph cut method, yarn segmentation using high pass filtering based method and fibres extraction. The developed image analysis algorithms quantify yarn hairiness by means of the two proposed measures such as hair area index and hair length index, which are compared to the USTER hairiness index-the popular hairiness measure, used nowadays in textile science, laboratories and industry. The detailed description of the proposed approach is given. The developed method is verified experimentally for two distinctly different yarns, produced by the use of different spinning methods, different fibres types and characterized by totally different hairiness. The proposed algorithms are compared with computer methods previously used for yarn properties assessment. Statistical parameters of the hair length index (mean absolute deviation, standard deviation and coefficient of variation) are calculated. Finally, the obtained results are analyzed and discussed. The proposed approach of yarn hairiness measurement is universal and the presented algorithms can be successfully applied in different vision systems for yarn quantitative analysis.

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“…The bulk of cashmere yarn production is woollen spun, and very little has been reported on the hairiness of worsted cashmere yarns. The question also remains as to whether the hair-length distributions of various yarns follow an exponential function [1,[17][18][19][20][21] or two exponential mechanisms operating respectively [22]. With respect to yarn hair-iness composition, Barella [1] stated that the number of protruding ends was appreciably the same as the number of fibers in the cross-section of the yarn.…”

mentioning

confidence: 99%

The Hairiness of Worsted Wool and Cashmere Yarns and the Impact of Fiber Curvature on Hairiness

Wang

Chang

McGregor³

2006

Textile Research Journal

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In this study, a range of carefully selected wool and cashmere yarns as well as their blends were used to examine the effects of fibre curvature and blend ratio on yarn hairiness. The results indicate that yarns spun from wool fibres with a higher curvature have lower yarn hairiness than yarns spun from similar wool of a lower curvature. For blend yarns made from wool and cashmere of similar diameter, yarn hairiness increases with the increase in the cashmere content in the yarn. This is likely due to the presence of increased proportion of the shorter cashmere fibres in the surface regions of the yarn, leading to increased yarn hairiness. A modified hairiness composition model is used to explain these results and the likely origin of leading and trailing hairs. This model highlights the importance of yarn surface composition on yarn hairiness.

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35—an Instrument for the Study of Yarn Hairiness

Cited by 25 publications

References 2 publications

An Electronic Instrument for Measuring the Hairiness of Jute Yarn

An Electronic Instrument for Measuring the Hairiness of Jute Yarn

Image processing and analysis algorithms for yarn hairiness determination

The Hairiness of Worsted Wool and Cashmere Yarns and the Impact of Fiber Curvature on Hairiness

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