The detection of product defects is essential in quality control in manufacturing. This study
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …

Defects in the textile manufacturing process lead to a great waste of resources and further
affect the quality of textile products. Automated quality guarantee of textile fabric materials is …

Wire and arc additive manufacturing (WAAM) is an emerging manufacturing technology that
is widely used in different manufacturing industries. To achieve fully automated production …

Metallic surface defect detection is an essential and necessary process to control the
qualities of industrial products. However, due to the limited data scale and defect categories …

Automatic metallic surface defect inspection has received increased attention in relation to
the quality control of industrial products. Metallic defect detection is usually performed …

Fabric defect detection is a necessary and essential step of quality control in the textile
manufacturing industry. Traditional fabric inspections are usually performed by manual …

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 …

This paper presents a comprehensive literature review of fabric defect detection methods
First, it briefly explains basic image acquisition system components such as camera and …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …