Abstract
Steel is the material of choice for a large number and very diverse industrial applications. Surface qualities along with other properties are the most important quality parameters, particularly for flat-rolled steel products. Traditional manual surface inspection procedures are awfully inadequate to ensure guaranteed quality-free surface. To ensure stringent requirements of customers, automated vision-based steel surface inspection techniques have been found to be very effective and popular during the last two decades. Considering its importance, this paper attempts to make the first formal review of state-of-art of vision-based defect detection and classification of steel surfaces as they are produced from steel mills. It is observed that majority of research work has been undertaken for cold steel strip surfaces which is most sensitive to customers' requirements. Work on surface defect detection of hot strips and bars/rods has also shown signs of increase during the last 10 years. The review covers overall aspects of automatic steel surface defect detection and classification systems using vision-based techniques. Attentions have also been drawn to reported success rates along with issues related to real-time operational aspects.
Highlights
Steel is the material of choice for a large number and very diverse industrial applications
Vision-based inspection systems are useful only when features are extracted from Region of interest (RoI), and classification is achieved between defects and pseudo defects and between the defects themselves
This paper dealt with review of automated inspection methods for steel surfaces using image processing techniques
Summary
Steel is the material of choice for a large number and very diverse industrial applications. Surface qualities along with other properties are the most important quality parameters, for flat-rolled steel products. Considering its importance, this paper attempts to make the first formal review of state-of-art of vision-based defect detection and classification of steel surfaces as they are produced from steel mills. The review covers overall aspects of automatic steel surface defect detection and classification systems using vision-based techniques. Importance of surface quality of steel products, that of cold-rolled steel assumed importance since 1980s primarily due to demands from automotive car makers. Surface quality of flat steel products, which are in coil form, is judged manually by cutting about 30 m of a random coil in a batch and inspected by an expert. The manual inspection process is not sufficient to guarantee defect-free surface of steel products with
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
