Based on a selection of 101 articles published from 2013 to 2022, this study systematically
reviews the application of intelligent techniques and optimization algorithms in textile colour …

This paper provides a comprehensive review of automatic recognition of woven fabric
structural parameters in recent years. Fabric structural parameters mainly include fabric …

Colors characterize each object around us. For this reason, the study of colors has played a
key role in Artificial Intelligence (think, for instance, of image classification, object recognition …

For design and manufacturing industries, to be able to capture the fashion trend is an
essential factor that leads to winning a sale. However, colour predicting process in many …

A new method combining the characteristics of macro-scale texture repeat patterns and
micro-scale interwoven yarns of fabric images was proposed for yarn-dyed fabric density …

In textile and garment industries, misarranged warp yarns of yarn-dyed fabrics disorganize
the layout of fabrics and lead to poor product quality. This series of studies aims to develop a …

Printed fabrics often have rich colors and variable patterns in different sizes and shapes,
which make it difficult to achieve accurate pattern recognition and color measurement using …

In the process of designing and analyzing the yarn‐dyed fabric, the yarn color pattern has an
important effect on the appearance of the fabric. An automatic color pattern recognition …

An effective method based on measuring the fiber orientation of yarn floats with two-
dimensional Fourier transform (2-D FFT) is proposed to recognize the weave pattern of yarn …

To measure the warp and weft densities of high-tightness fabrics, an efficient inspection
method utilizing a novel density–texture formulation is developed. The density–texture …