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Automatic C. Elgance Recognition Based on Symmetric Similarity in Bio-Micromanipulation

  • Conference paper
Knowledge Engineering and Management

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 123))

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Abstract

A new image recognition algorithm for a small creature—Caenorhabditis elgance is developed in this paper. This methods first use edge detection, binarization and other methods to get the body contours of C.elgance. Then using its body symmetry, C.elgance is recognized by comparing similarity of consecutive lines in image. The experimental result shows the high positioning accuracy and rapidity of the proposed algorithm. This method can also be applied to other object recognition from the biological image of creatures with symmetric body.

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References

  1. Zhang, B., Zhao, W., Ma, S.: Banding of Human Chromosome Image Analysis and Recognition System. China Journal of Image and Graphics 1, 148–150 (1996)

    Google Scholar 

  2. Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis and Machine Vision, 2nd edn. People Post Press, Beijing (2003)

    Google Scholar 

  3. Yang, B., Wang, W., Li, Y.: Image Separation Algorithm of Blood Cells Based On Skeleton. Computer Engineering and Applications 16, 94–97 (2003)

    Google Scholar 

  4. Liu, Y., Wang, B., Hu, P.: CD4 Analysis and Recognition Research of Cell Microscopic Image. Chinese Journal of Medical Instrumentation 29, 419–422 (2005)

    Google Scholar 

  5. Wang, J.: A Method to Find the Middle Axis of C-band Chromosome. Journal of Sichuan University (Natural Science) 41, 768–773 (2004)

    Google Scholar 

  6. Qin, T., Zhou, Z.: A New Way to Detect the Moving Target in the Sequences Image. Computer Application and Software 21, 105–107 (2004)

    MathSciNet  Google Scholar 

  7. Wang, X., Wu, C.: System Analysis and Design Based on MATLAB-—Image Processing, pp. 57–58. Xidian University Press (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China

    Rong Zhang, Jingkun Zhao & Xu Chen

  2. Beijing Municipal Institute of Labour Protection, 100054, Beijing, China

    Shichuan Tang, Shujing Zhang & Bin Zhang

Authors
  1. Rong Zhang
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  2. Shichuan Tang
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  3. Jingkun Zhao
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  4. Shujing Zhang
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  5. Xu Chen
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  6. Bin Zhang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, China

    Yinglin Wang

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, Sichuan Province, China

    Tianrui Li

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, R., Tang, S., Zhao, J., Zhang, S., Chen, X., Zhang, B. (2011). Automatic C. Elgance Recognition Based on Symmetric Similarity in Bio-Micromanipulation. In: Wang, Y., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent and Soft Computing, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25661-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-25661-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25660-8

  • Online ISBN: 978-3-642-25661-5

  • eBook Packages: EngineeringEngineering (R0)

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