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Subpixel Edge Location in the Fiber’s Application

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

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Abstract

With Image recognition technology to a wider range of applications to the production areas, the combination of it and automatic control of industrial production can greatly enhance efficiency and reduce manual operations brought about by the defects. As a result of the use of image acquisition, computer analysis, processing, control, Optical Fiber Fusion Splicer objective detection accuracy greatly enhanced so that the weld welder fiber quality has been further improved.

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References

  1. Yu, Q.-F., Lu, H.-W., Liuxiao-Lin: Precision measurement and motion measurement based on image. Science Press, Beijing (2002)

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  2. Liu, G.-X., Shen, B.-H., Feng, Y., et al.: Method of image segmentation based on improved hough transform. Optics Precision Engineering 6(3), 257–260 (2002) (in Chinese)

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  3. Zhang, Q.-J., Yang, D., Zhang, X., et al.: Wavelet edge detection method based on multi-scale fuzzy logic. Journal of Chongqing University (Natural Science Edition) 28(10), 62–65 (2005) (in Chinese)

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  4. Zhu, Y., Jiang, Z.-T.: A Sub-pixel edge detection method based on Sobel operator. Journal of Nanchang Institute of Aeronautical Technology (Natural Science) 19(2), 100–102 (2005) (in Chinese)

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Correspondence to Lin Zhan .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Zhan, L., Xiuzhen, L. (2012). Subpixel Edge Location in the Fiber’s Application. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_83

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_83

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

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