Machine vision-based pilling assessment: a review

R Furferi, L Governi, Y Volpe - Journal of Engineered Fibers …, 2015 - journals.sagepub.com
Pilling is an undesired defect of textile fabrics, consisting of a surface characterized by a
number of roughly spherical masses made of entangled fibers. Mainly caused by the …

Developing a data-driven operational guide for the texturized yarn production process: data mining and intelligence approach

S Sareminia, Z Ghayoumian… - International Journal of …, 2024 - emerald.com
Purpose The textile industry holds immense significance in the economy of any nation,
particularly in the production of synthetic yarn and fabrics. Consequently, the pursuit of …

[PDF][PDF] Prediction of shrinkage and fabric weight (g/m2) of cotton single jersey knitted fabric using artificial neural network and comparison with general linear model

K Anupreet, K Roy - Int J Inf Res Rev, 2016 - scholar.archive.org
Fabric shrinkage is a serious problem for knitwear, which originates from dimensional
changes in the fabric. It has become even more prevalent in recent years due to the …

[PDF][PDF] Fashion colour forecasting based on BP neural network

X Kong, L Chang, J Xu - Computer Modelling & New Technologies, 2014 - cmnt.lv
Fashion colour forecasting is a hot issue in fashion industry and also a hard problem
because of much uncertain information. Utilizing strong mapping capability of BP Neural …

[PDF][PDF] Automatic Machine Vision-based pilling measurement

R Furferi, L Governi, Y Volpe - researchgate.net
Pilling is an undesired defect of textile fabrics, consisting of a surface characterized by a
number of roughly spherical masses made of entangled fibers. Mainly caused by the …