On-Line Bleeds Detection in Continuous Casting Processes Using Engineering-Driven Rule-Based Algorithm

This paper describes the development of an on-line quality inspection algorithm for detecting the surface defect (bleeds) generated in continuous casting processes. The challenges of bleed detection in visual images lie in the low signal-to-noise ratio, the irregularity of bleed contour patterns, and significant false positives. In order to solve these problems, an engineering-driven ride-based detection (ERD) method is proposed. The ERD consists of three detection stages using the pixel features of bleeds, which are transferred front the physical features generated via engineering knowledge. The detailed strategy, ERD algorithm, parameter selection, and casting knowledge are, presented. The real case study demonstrates that the developed algorithm is effective and applicable.