Fabric defect detection is a crucial step of quality control in textile enterprises. The use of
computer vision inspection technology in the textile industry is key to achieving intelligent …

Fabric defects can significantly impact the quality of a textile product. By analyzing the types
and frequencies of defects, manufacturers can identify process inefficiencies, equipment …

Image processing technology is a technology that is increasingly used in almost all sectors
and continues to develop today. When its usage areas are examined, it is frequently used in …

Abstract Automated Fabric Defect (FD) detection plays a crucial role in industrial automation
within fabric production. Traditionally, the identification of FDs heavily relies on manual …

One of the most important factors that are associated with the quality and performance of
textiles is the fineness of yarn. There is usually high demand for automated methods of yarn …

India's textile industry heavily relies on efficient fabric defect detection for maintaining
product quality and production efficiency. This review paper comprehensively analyzes …

When using machine vision systems to replace human eyes for color difference detection of
products, machine vision systems are greatly affected by hardware and environmental …

For correcting the color difference in machine vision imaging, all colors in the color space
are usually used to train the correction model in traditional methods, which will lead to a …

As the production speeds of factories increase, it becomes more and more challenging to
inspect products in real time. The goal of this article is to come up with a computationally …

This study introduces a Textile Analysis and Quality Control System in response to the
urgent need for innovation in the textile sector. The main objective is to tackle the …