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A Rock Structure Recognition System Using FMI Images

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Neural Information Processing (ICONIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5863))

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Abstract

Formation Micro Imager (FMI) can directly reflect changes of wall stratum and rock structures. It is also an important method to divide stratum and identify lithology. However, people usually deal with FMI images manually, which is extremely inefficient and may incur heavy burdens in practice. In this paper, with characteristics of rock structures from FMI images, we develop an efficient and intelligent rock structure recognition system by engaging image processing and pattern recognition technologies. First, we choose the most effective color and shape features for rock images. Then, the corresponding single classifier is designed to recognize the FMI images. Finally, all these classifiers are combined to construct the recognition system. Experimental results show that our system is able to achieve promising performance and significantly reduce the complexity and difficulty of the rock structure recognition task.

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Author information

Authors and Affiliations

  1. Department of Computer Science, School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Xu-Cheng Yin, Qian Liu, Hong-Wei Hao & Zhi-Bin Wang

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China

    Kaizhu Huang

Authors
  1. Xu-Cheng Yin
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  2. Qian Liu
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  3. Hong-Wei Hao
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  4. Zhi-Bin Wang
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  5. Kaizhu Huang
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

    Chi Sing Leung

  2. School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, 702-701, Taegu, Korea

    Minho Lee

  3. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Jonathan H. Chan

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© 2009 Springer-Verlag Berlin Heidelberg

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Yin, XC., Liu, Q., Hao, HW., Wang, ZB., Huang, K. (2009). A Rock Structure Recognition System Using FMI Images. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10677-4_95

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  • DOI: https://doi.org/10.1007/978-3-642-10677-4_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10676-7

  • Online ISBN: 978-3-642-10677-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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