Abstract
A construction of an on-line detection system for surface of the hot heavy rail is presented, and a kind of detection means based on the machine vision technology is proposed. In the paper, a description of the principle of machine vision detection, the operational principle of CCD and the construction of the system is made. The overall design of the system, including light controls, image acquisition, image processing and man-machine interface management is described in a modularized form. The system has been practically carried out in a Rail Beam Plant. The client in the local area network could observe the image, make information analysis by on-line or off-line, and manage lots of information. Good results have been obtained.
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References
Xu, G.: The Application of Curve Fitting Technique in Fabric Defect Detection. In: 2010 IEEE International Conference on Signal Processing System (2010)
Hu, L., Duan, F.: Study on In-line Surface Detect Detection System for Steel Strip Based on Linear CCD Sensor. Acta Metrologia Sinica 26 (2005)
Li, J., Deng, W., Liu, L.: Adjustment and Calibration Method for Linear CCD Measurement System. Modern Electronics Technique 32 (2009)
Hu, L., Duan, F.: The Application of FPGA-Based Image Processing Technology in Surface Defect Detection System for Steel Strip. Chinese Journal of Sensors and Actuators 19 (2006)
Xia, C., Li, C., Xiong, C.-y.: Summary of The Online Test Methods of Surface Finish for Rolled Steel Plates. Industrial Measurement 20 (2010)
Hu, L., Duan, F., Ding, K.: Research on Surface Detects on Line Detection System for Steel Plate Using Computer Vision. Iron & Steel 40 (2005)
Li, Y., Wang, B.: Research on online measuring system of ceramic tile size based on linear array CCD. Transducer and Microsystem Technologies 29 (2010)
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© 2011 Springer-Verlag Berlin Heidelberg
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Gong, R., Liu, Y. (2011). Design of the On-Line Detection System for the Surface of the Hot Heavy Rail. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_45
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DOI: https://doi.org/10.1007/978-3-642-24282-3_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24281-6
Online ISBN: 978-3-642-24282-3
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