Recent research and developments on yarn hairiness

N Haleem, X Wang - Textile Research Journal, 2015 - journals.sagepub.com
Hairiness is an important quality parameter of spun yarns. It not only affects the quality of
yarns, but also the weaving and knitting performance of yarns as well as the quality of the …

Yarn apparent evenness detection based on L0 norm smoothing and the expectation maximization method

H Zhang, H Zhu, K Yan, J Jing… - Textile Research …, 2023 - journals.sagepub.com
During spinning, knitting and weaving processes, the yarn apparent evenness is an
important factor, which determines the quality of subsequent spinning production and fabric …

Image processing and analysis algorithms for yarn hairiness determination

A Fabijańska, L Jackowska-Strumiłło - Machine Vision and Applications, 2012 - Springer
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 …

Single vision based identification of yarn hairiness using adaptive threshold and image enhancement method

W Wang, B Xin, N Deng, J Li, N Liu - Measurement, 2018 - Elsevier
In order to measure the yarn parameter information more accurately with the image analysis
method, an adaptive grayscale enhancement and linear region threshold segmentation …

Yarn hairiness characterization using two orthogonal directions

VH Carvalho, PJ Cardoso, MS Belsley… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
We demonstrate that one can adequately characterize yarn hairiness by imaging the yarn
along a single projection direction using coherent optical processing. A system that …

Automatic measurement of yarn hairiness based on the improved MRMRF segmentation algorithm

J Jing, M Huang, P Li, X Ning - The Journal of the Textile Institute, 2018 - Taylor & Francis
In order to determine the yarn hairiness characteristic index more accurately, a new yarn
hairiness testing strategy based on a combination of image acquisition technology is …

Yarn diameter measurements using coherent optical signal processing

VÍH Carvalho, PJ Cardoso, MS Belsley… - IEEE Sensors …, 2008 - ieeexplore.ieee.org
A method to measure variations in yarn diameter using coherent optical signal processing
based on a single photodiode plus additional electronics is described. The approach …

The obtainment and recognition of raw silk defects based on machine vision and image analysis

C Wang, J Li, M Chen, Z He, B Zuo - The Journal of The Textile …, 2016 - Taylor & Francis
At present, the raw silk defects detection is traditional seriplane inspection that is greatly
influenced by human factors and poorly repeatable. We introduce a method of machine …

Automatic yarn characterization system: design of a prototype

VH Carvalho, MS Belsley, RM Vasconcelos… - IEEE Sensors …, 2009 - ieeexplore.ieee.org
This paper presents Yarn System Quality (YSQ), an innovative, low-cost, portable and high-
precision yarn evaluation tester, for quality control of yarn characteristics under laboratory …

A comparative study on yarn hairiness results from manual test and two commercial hairiness metres

N Haleem, X Wang - Journal of the Textile Institute, 2013 - Taylor & Francis
The true hairiness (actual hair number and length) of ring, compact and rotor spun yarns
was measured by means of a tedious manual method. The hairiness results were then …