Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
The image processing handbook (2nd ed.)
The image processing handbook (2nd ed.)
A contour detection method: initialization and contour model
Pattern Recognition Letters
Efficient Computer Manipulation of Tensor Products
ACM Transactions on Mathematical Software (TOMS)
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This paper presents an application of an image processing system in the monitoring and control of the hot-rolling of steel bars. A robust implementation both with respect to camera packaging and data transmission has been choosen. A gigabit ethernet network is used for all communication within the system, whereby a switch with integrated fire-wall is used to distribute the data and provide connection to the outside world.The image processing algorithms use statistical estimates of confidence to ensure robust operation under extreme conditions. Feedback-control requires a sampling rate approximately 10 times higher that the bandwidth of the system which is to be controlled [K.J. Astrm, T. Hgglund, PID Controllers: Theory, Design, and Tuning, Instrumental Society of America, 1995 [1], Jukka Lieslehto, Wap application for pid controller tuning, in: Proceedings of the 2000 IEEE International Symposium on Computer-aided Control System Design, vol. September 25-27, Ancorage, Alaska, USA, 2000, pp. 168-172 [2]]. The system demonstrates the acquisition and processing of 500 frames per second in real time, this is commensurate with 50 Hz bandwidth presently possible for hydraulic systems. This opens the door to real-time feedback control using digital image processing.