In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …

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

Deep learning (DL) is an important enabling technology for intelligent manufacturing. The
DL-based industrial image pattern recognition (DLBIIPR) plays a vital role in the …

In order to achieve accurate color segmentation of printed fabrics, the color segmentation
algorithm combining the self-organizing maps neural network and the efficient dense …

The machine vision inspection plays a vital role in the digital transformation and intelligent
upgrading of the textile industry. Driven by big data and artificial intelligence model, the …

For multi-color yarn-dyed fabrics which are cross-woven by yarns with different colors, the
different colors cannot be directly measured by a traditional spectrophotometer because it …

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

In the textile and clothing industry, woven fabric density not only has a significant impact on
the quality of the woven fabrics but is also directly related to the comfort and durability of the …

We propose an objective method to quantify the solid-particle removal rate from fabric. The
method extracts the ratio (K/S) λ of light absorption K to scattering S at wavelength λ from …

机织物密度和组织结构参数是纺织品检测的两个重要数据, 其检测指标决定机织物产品的质量.
由于织物结构的复杂性, 纺织检验领域中对机织物结构参数的检测仍然依赖于人工分析 …