Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2007.10a
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- Pages.155-156
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- 2007
Vision-Based Camber and Optimal Cutting Line Detection Algorithm for Hot-Rolling Process
열연 공정에서의 영상을 이용한 캠버 및 최적 절단선 검출 알고리즘
- Kong, Nam-Wong (Department of Electronics and Electrical Engineering, Pohang University of Science and Technology) ;
- Moon, Jung-Hye (Department of Electronics and Electrical Engineering, Pohang University of Science and Technology) ;
- Park, Poo-Gyeon (Department of Electronics and Electrical Engineering, Pohang University of Science and Technology)
- Published : 2007.10.26
Abstract
This paper presents the vision-based camber and optimal cutting line detection algorithm for hot-rolling process. It is important to measure the camber of head and tail part of strips because many problems are caused by the camber in the hot-rolling process. The hot-rolling process has time constraints. The camber detection algorithm of head and tail parts requires fast and less complex for satisfying time constraints. The proposed algorithm consists of two parts: measurement of the camber in the head and tail part of strips and decision part of the optimal cutting line of hot-rolled strip. First, we obtain the camber value of the strip from the difference between the real center line and the center line of head, tail part. Second, the head and tail part of strips isn't suitable for strips connections. Therefore, the cutting process is needed in the hot-rolling process. The optimal cutting line is determined by the head and tail images obtained from cameras. The algorithm is applied into the vision system with two area cameras, Matrox image processing board and host PC for verification.
Keywords