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Starfish Recognition Using Adaptive Filter

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Future Generation Information Technology (FGIT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7709))

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Abstract

The image capture method used for starfish recognition technology currently studied has limitations in capturing color images by using the area of visible ray in the poor underwater environment. This paper uses the infrared ray image which has a strong penetrating power underwater and is less sensitive to the noise of floating matter to settle the issue. The captured infrared ray underwater images are classified by the proposed adaptive filter. The adaptive filter is divided into the all pass filter, low pass filter and high pass filter by the decision function from the histogram distribution curve. Each of the classified image groups came to obtain a satisfactory result with the recognition of 87.5% as a result of recognition of starfish by using the number of concave and convex feature points.

This research was financially supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea(NRF) through the Human Resource Training Project for Regional Innovation.

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References

  1. Yun, D.-S.: Technology Trends for the use of the Starfish. EBN Co., Ltd., (August 5, 2009) 09:30:03

    Google Scholar 

  2. Jang, S.-H.: Starfish Role of Stock in the Farm Environment. College of Marine Science. Gyeongsang National Univ. (2000)

    Google Scholar 

  3. MBC, War of Starfish, MBC SPECIAL (September 24, 2010)

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  4. Shin, Y.-T., Lee, S.-M.: Systematic Promotion Plan of Aquafarm Purifying Project. Korea Maritime Institute

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  5. Maldague, X.P.V.: Infrared methodology and technology. Gordon and Breach Science Publishers, Amsterdam (1994)

    Google Scholar 

  6. Samsung SDI homepage, www.samsungsdi.com

  7. Yang, D.-J.: A Study on the Image Noise Reduction of Flat Panel TV using LoG Bilateral Spatial filter, School of Electrical & Computer Engineering, Graduate School of Univ. of Seoul (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Kwandong University, KangNumg, South Korea

    Jong-Ik Kim

  2. Dept. of Electronics, Kangwon National University, Samcheok, South Korea

    Si-Byung Nam

  3. Dept. of Computer Engineering, Kwandong University, KangNung, South Korea

    Sung-Rak Kim & Do-Hong Jeon

Authors
  1. Jong-Ik Kim
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  2. Si-Byung Nam
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  3. Sung-Rak Kim
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  4. Do-Hong Jeon
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Editor information

Editors and Affiliations

  1. GVSA and University of Tasmania, Hobart, TAS, Australia

    Tai-hoon Kim

  2. Hannam University, Daejeon, South Korea

    Young-hoon Lee

  3. National Chiao Tung University, Hsinchu, Taiwan, ROC

    Wai-chi Fang

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© 2012 Springer-Verlag Berlin Heidelberg

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Kim, JI., Nam, SB., Kim, SR., Jeon, DH. (2012). Starfish Recognition Using Adaptive Filter. In: Kim, Th., Lee, Yh., Fang, Wc. (eds) Future Generation Information Technology. FGIT 2012. Lecture Notes in Computer Science, vol 7709. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35585-1_17

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  • DOI: https://doi.org/10.1007/978-3-642-35585-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35584-4

  • Online ISBN: 978-3-642-35585-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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