Advanced SearchSearch Tips
A Camber Monitoring System of RM Zone based on Direction Selective Edge Detection Algorithm
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Camber Monitoring System of RM Zone based on Direction Selective Edge Detection Algorithm
Kim, Hyun-Soo; Choi, Yong Joon;
In this paper, we propose camber monitoring system which is using on hot rolling process. In roughing mill which is one of the rolling part in hot rolling process, steel plate can be bended in width direction under the imbalance of rolling condition. This bending of steel plate in width direction is called as camber. In order to measure the camber, first, cameras which are installed over transport pathway of steel plate take pictures of whole shape of steel plate. And location value of steel plate edge is extrated from these pictures by edge detection algorithm. But, there are a lot of noises which are generated by such as water sprays, dusts, peripheral equipments in these pictures, and these noises make edge detection difficult. In order to solve this kind of problem, we developed a direction selective edge detection algorithm, and applicated in our camber monitoring system. As a result, we got stable results in spite of process noises.
hot rolling;roughing mill;camber measurement;camera;direction selective edge detection;
 Cited by
R. J. Montague, "A machine vision measurement of slab camber in hot strip rollingLinear controllable systems," Journal of Materials Processing Technology, vol. 168, on. 1, pp. 172-180, Sep. 2005. crossref(new window)

T. Shiraishi, "Relation between camber and wedge in flat rolling under restrictions of lateral movement," ISIJ Int., 31, no. 6, pp. 583-587, 1991. crossref(new window)

I.-S. Choi, "Camber control techinques of steel plate in hot rolling process," Proc. of Korea Automation Control Congress (KACC) (in Korean), pp. 242-244, 2009.

Canny, John, "A computational approach to edge detection," Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986. crossref(new window)

Y. Suzuki and T. Shibata, "An edge-based face detection algorithm robust against illumination, focus, and scale variations," Proc. EUSIPCO, pp. 2279-2282.

H.-S. Kim, "Directional-edge-space processing for multipleresolution image perception," World Automation Congress (WAC), Sep. 2010.