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Venous Congestion Detection Method Based on HSI Color Space

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Book cover Biometric Recognition (CCBR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8232))

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Abstract

The venous congestion is a very important kind of feature in iridology. How to detect and analyze the venous congestion is crucial to the automatic iris diagnosis system. Based on the HSI color space, this paper presents an effective method to extract the venous congestion. The iris image will be located and segmented at first, then fuse the H components and S components to quantitate the venous congestion. Experimental results show the validity of this approach.

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References

  1. Navratil, F.: Iridology - For your eyes only, pp. 81–107. C.V.Mosby (2001)

    Google Scholar 

  2. Li, F.: The Department of Ophthalmology, Beijing (2011)

    Google Scholar 

  3. Zhang, X.: The analysis of K-F Ring and hepatolenticular degeneration. J. Clinical Ophthalmology 9, 11–13 (2001)

    Google Scholar 

  4. Yuan, W., Lin, Z., Xu, L.: A new Iris location algorith based on eyes structure. Opto-Electronic Engineering 34, 112–116 (2007)

    Google Scholar 

  5. Welch, E., Moorhead, R., Owens, J.K.: Image processing using the HSI color space. In: Conference Proceedings-IEEE Southeastcon, Williamsburg, USA, vol. 2, pp. 722–725 (1991)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Vision Group, Shenyang University of Technology, No.111, ShenLiao West Road, Economic & Technological Development Zone, Shenyang, 110087, P. R. China

    Wei Qi Yuan & Le Chang

  2. Liaoning Guidaojiaotong Polytechnic Institute, No.170, Nujiang Street , Huang GU Zone, Shenyang, 110036, P. R. China

    Le Chang

  3. Feng Tian Hospital Affiliated To Shenyang Medical College, No.7 South Road, Tie Xi Zone, Shenyang, 110021, P. R. China

    Xiao Sun & Hai Teng

Authors
  1. Wei Qi Yuan
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  2. Le Chang
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  3. Xiao Sun
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  4. Hai Teng
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, 100190, Beijing, P.R. China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, China

    Shiguan Shan

  3. School of Computer Science and Technology, Shandong University, 250101, Jinan, China

    Gongping Yang  & YiLong Yin  & 

  4. Software Engineering Institute, Tsinghua University, 100084, Beijing, China

    Jie Zhou

  5. School of Software, Beihang University, 100083, Beijing, China

    Yunhong Wang

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© 2013 Springer International Publishing Switzerland

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Yuan, W.Q., Chang, L., Sun, X., Teng, H. (2013). Venous Congestion Detection Method Based on HSI Color Space. In: Sun, Z., Shan, S., Yang, G., Zhou, J., Wang, Y., Yin, Y. (eds) Biometric Recognition. CCBR 2013. Lecture Notes in Computer Science, vol 8232. Springer, Cham. https://doi.org/10.1007/978-3-319-02961-0_47

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  • DOI: https://doi.org/10.1007/978-3-319-02961-0_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02960-3

  • Online ISBN: 978-3-319-02961-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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