Abstract
Some defects which are produced during the glass production will badly affect the quality of glass. It is necessary to detect the glass defects. The on-line glass defect inspection system is introduced in this article by using TMS320C6711-150 DSP and EPM1270GT144C5 CPLD as control parts and functional models as periphery to make up the hardware part. The software system is designed according to the nowadays-popular digital image processing technology. This system will be the important thing to improve the production level, intelligent grade of on-line glass defect inspection; increase the product quality, production efficiency and automation level; decrease the investment and cost of that.
Supported by Hubei Province Key Laboratory of Systems Science in Metallurgical Process(Wuhan University of Science and Technology).
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References
An, N., Lin, S., Liu, H., et al.: Study of image processing method and its application. Journal of Instrumentation S1, 309–310 (2006)
Wang, L., Lan, T., Wang, S.: Performance and practice of automated on-line glass defect detecting equipments. Journal of Glass (5), 46–48 (2003)
Cheng, H.: Design and implementation of automated glass defect inspection system. Xi’an Jiaotong University, Xi’an (1998)
Cheng, Z., Wu, H.: An improved median filtering algorithm. Journal of Huazhong University of Science 25(7), 40–42 (1997)
Qin, P., Ding, R.: Multilevel median filtering technology based on threshold value decomposition. Microcomputer and Application 22(12), 50–52 (2003)
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© 2011 Springer-Verlag Berlin Heidelberg
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Pan, L., Liu, X., Chen, C. (2011). Based on Embedded Image Processing Technology of Glass Inspection System. In: Jin, D., Lin, S. (eds) Advances in Multimedia, Software Engineering and Computing Vol.1. Advances in Intelligent and Soft Computing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25989-0_55
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DOI: https://doi.org/10.1007/978-3-642-25989-0_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25988-3
Online ISBN: 978-3-642-25989-0
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