Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …

Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

This paper reviews automated visual-based defect detection approaches applicable to
various materials, such as metals, ceramics and textiles. In the first part of the paper, we …

There are different applications of computer vision and digital image processing in various
applied domains and automated production process. In textile industry, fabric defect …

Visual inspection is a main stage of quality control process in many applications. Surface
defect inspection plays an important role in fabric textile quality control systems. Each type of …

Fabric defect detection plays an essential role in the textile production process, which was
widely applied in the textile industry. For fabric defect detection, many algorithms have been …

Fabric defect detection plays an important role in the textile production process, but there are
still some challenges in detecting defects rapidly and accurately. In this paper, we propose a …

With the rise of labor costs and the advancement of automation in the textile industry, fabric
defect detection has become a hot research field in recent years. We proposed a learning …

Fabric defect detection is the important step of ensuring the quality and price of textiles. In
order to make the automatic fabric defect detection system used in production sites, a cloud …