Fabric density measurement plays a key role in the analysis of fabric structural parameters.
Existing automatic measurement methods lack varieties of adaptability and present poor …

In this paper, an effective method based on the smallest repeat unit recognition (SRUR)
algorithm is proposed to inspect the color effect of yarn-dyed fabric automatically. This …

The use of machine vision technologies to detect the density of colored yarn-dyed woven
fabric has significantly accelerated during the last two decades. Unlike previous studies, this …

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 …

In the paper the analysis of technologies for processing of wastes of sewing and knitted
production is carried out. Issues of development of ecologically expedient methods and …

To recognize the layout of color yarns of single‐system‐mélange color fabric automatically,
a novel FCM‐based stepwise classification method is proposed in this article. This method …

To overcome the shortcomings of time-consuming manual measurement methods of fabric
density, a novel density measurement method of woven fabrics using image analysis …

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 …

This series of studies aims to develop a computer vision-based system for automatic
detection of misarranged color warp yarns. This paper proposes a yarn layout proofing …