Fabric defect detection plays a crucial role in fabric inspection and quality control.
Convolutional neural networks (CNNs)-based model has been proved successful in various …

The investment in an automated fabric defect detection system is more than economical
when reduction in labor cost and associated benefits are considered. The development of a …

Many fabric defects are very small and undistinguishable, which makes them very difficult to
detect by only monitoring the intensity change. Faultless fabric is a repetitive and regular …

Fabric defect detection is a challenging task in the fabric industry because of the complex
shapes and large variety of fabric defects. Many methods have been proposed to solve this …

Fabric defect detection is particularly remarkable because of the large textile production
demand in China. Traditional manual detection method is inefficient, time‐consuming …

Loom malfunctions are the main cause of faulty fabric production. A fabric inspection system
is a specialized computer vision system used to detect fabric defects for quality assurance. In …

In this paper, a novel defect detection scheme based on morphological filters is proposed to
tackle the problem of automated defect detection for woven fabrics. In the proposed scheme …

Fabric defect detection has been an active area of research since a long time and still a
robust system is needed which can fulfill industrial requirements. A robust automatic fabric …

The surface defects' region of strip steel is small, and has various defect types and, complex
gray structures. There tend to be a large number of false defects and edge light interference …

Defect detection is a crucial part of the pipeline in many industries. In the textile industry, it is
especially important, as it will affect the quality and price of the final product. However, it is …