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A General Image Based Nematode Identification System Design

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

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Abstract

Nematodes are primitive organisms which nonetheless devour many of the essential resources that are critical for human beings. For effective and quick inspection and quarantine, we propose a general image based system for quantitatively characterizing and identifying nematodes. We also describe the key methods ranging from gray level image acquisition and processing to information extraction for automated detection and identification. The main contributions of this paper are not only presenting a framework of the system architecture, but also giving detail analysis and implementation of each system component with instance of Caenorhabditis elegans. Therefore with a little modification, this system can be applied to other nematode species discrimination and analysis.

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Author information

Authors and Affiliations

  1. School of Electronics and Communication Engineering, Hankuk Aviation University, Korea

    Bai-Tao Zhou, Won Nah, Kang-Woong Lee & Joong-Hwan Baek

Authors
  1. Bai-Tao Zhou
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  2. Won Nah
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  3. Kang-Woong Lee
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  4. Joong-Hwan Baek
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhou, BT., Nah, W., Lee, KW., Baek, JH. (2005). A General Image Based Nematode Identification System Design. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_132

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  • DOI: https://doi.org/10.1007/11596981_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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