Adaptive neuro-fuzzy system for quantitative evaluation of woven fabrics' pilling resistance

M Eldessouki, M Hassan - Expert Systems with Applications, 2015 - Elsevier
Fabric pilling is considered a performance and aesthetic property of the woven products that
determine its quality. The subjective evaluation of the fabric pilling results in misleading …

Development of a low cost yarn parameterisation unit by image processing

A Sengupta, S Roy, S Sengupta - Measurement, 2015 - Elsevier
This paper deals with the development of a computerised system to measure different yarn
parameters ie diameter, diameter variation, number of thick/thin places and neps, hairiness …

Measuring the unevenness of yarn apparent diameter from yarn sequence images

Z Li, R Pan, J Zhang, B Li, W Gao… - … Science and Technology, 2015 - iopscience.iop.org
This article presents a novel method for measuring the unevenness of yarn apparent
diameter based on yarn sequence images captured from a moving yarn. A dynamic …

A method to evaluate the diameter of carded cotton yarn using image processing and artificial neural networks

HS Khaddam, GG Ahmad - The Journal of The Textile Institute, 2022 - Taylor & Francis
Cotton yarn diameter is an important characteristic that reflects the quality of the yarn to a
large extent. In this paper, a new method was proposed to determine the diameter of cotton …

Developing new measuring and ANN prediction method for the longitudinal diameter of intermingled untwisted heat set bulk continues filament yarns

M Dadgar - Measurement, 2021 - Elsevier
Measuring the thin and thick diameter of untwisted intermingled yarns is an important and
useful technique that depends on the heat setting and yarn parameters. In this study, a new …

A dynamic and robust image processing based method for measuring the yarn diameter and its variation

M Eldessouki, S Ibrahim, J Militky - Textile Research Journal, 2014 - journals.sagepub.com
The yarn diameter is an effective property in determining fabric structure and processing
settings. There are different systems of measuring the yarn diameter; among them is the …

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 …

Computer vision techniques for detecting yarn defects

F Pereira, V Carvalho, F Soares, R Vasconcelos… - … of Computer Vision in …, 2018 - Elsevier
In textile industry, the quality of the final product is directly related to the quality of the yarn;
therefore, it is essential to make an accurate assessment of the characteristics of the yarns …

Yarn linear mass determination using image processing: first insights

R Pinto, F Pereira, V Carvalho, F Soares… - IECON 2019-45th …, 2019 - ieeexplore.ieee.org
This paper presents a part of the development of a system for the analysis of yarn through
image processing. The creation of a system capable of analyzing quality and making it …

[PDF][PDF] 融合空间模糊C-均值聚类的纱线疵点检测算法

赵妍, 张缓缓, 景军锋, 李鹏飞 - Laser & Optoelectronics …, 2021 - researching.cn
摘要为了精确评价纱线疵点的种类与个数, 提出了一种融合空间模糊C-均值(FCM)
聚类的纱线疵点检测算法. 首先利用融合空间FCM 聚类算法提取纱线条干; 然后对纱线条干进行 …