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An LED Assembly Angle Detection System

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Information Computing and Applications (ICICA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7030))

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Abstract

In view of the present problem of the LED display brightness not uniformity, the text puts forward a kind of LED light assembly angle automatic detection system. First, make use of stepping motor drive the LED display module rotation. In the process of LED rotation, use CCD camera get each image of LED display module with Angles of each step; And then by using the template matching principle pinpoint positions of leds in LED display module. Finally, detect the brightness of the led, and according to the step motor’s stepping Angles to calculate the deflection Angles of leds.

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References

  1. Ma, X.: The research and implementation of the LED display screen’sγcorrection. Lightning and Control, 92–96 (2010)

    Google Scholar 

  2. Xu, J.: The adjustment technology application with the LED display screen’s brightness and chromaticity. Modern Display, 146–147 (2010)

    Google Scholar 

  3. Du, J.: Two kinds of Fast Image Registration Algorithms based on the gray level. Master’s degree thesis (2007)

    Google Scholar 

  4. Mount, D.M., Netanyahu, N.S., Moijne, J.: Efficient algorithms for robust feature matching. Pattern Recognition 32, 17–38 (1999)

    Article  Google Scholar 

  5. Zhang, H., Zhang, K., Li, Y.: Image matching research progress. The Computer Engineering and Application, 42–45 (2004)

    Google Scholar 

  6. Yu, P., Yuan, H., Zhao, Z., et al.: The interest points in the image recognition matching method research. The Computer Engineering and Application, 132–135 (2010)

    Google Scholar 

  7. Rao, J.: The research of the image matching method based on the gray level. Master’s degree thesis (2005)

    Google Scholar 

  8. Wei, N.: Study on Fast Image Registration Algorithms in Pattern Recognition. Doctoral Dissertation (2009)

    Google Scholar 

  9. Chang, Y., et al.: A kind of fast detection method for the full-color LED display screen’s brightness uniformity. Lamps and Lighting, 33–35 (2009)

    Google Scholar 

  10. Huang, L.: Stepping motor control based on AT89C51 Single-chip micro computer. Electronic Production, 19–22 (2006)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Hebei University of Science and Technology, Yuxiang Street 26, Shijiazhuang, China

    Li Chunming, Shi Xinna, Xu Yunfeng & Wu Shaoguang

Authors
  1. Li Chunming
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  2. Shi Xinna
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  3. Xu Yunfeng
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  4. Wu Shaoguang
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Editor information

Editors and Affiliations

  1. College of Science, Hebei United University, Xinhua West Road 46, 063000, Tangshan, Hebei, China

    Baoxiang Liu

  2. School of Computer Science and Information Engineering, Zhejiang Gongshang University, Xueheng Street 18, 310018, Hangzhou, China

    Chunlai Chai

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© 2011 Springer-Verlag Berlin Heidelberg

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Chunming, L., Xinna, S., Yunfeng, X., Shaoguang, W. (2011). An LED Assembly Angle Detection System. In: Liu, B., Chai, C. (eds) Information Computing and Applications. ICICA 2011. Lecture Notes in Computer Science, vol 7030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25255-6_78

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  • DOI: https://doi.org/10.1007/978-3-642-25255-6_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25254-9

  • Online ISBN: 978-3-642-25255-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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