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Corneal Arcus Segmentation Method in Eyes Opened Naturally

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Book cover Biometric Recognition (CCBR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9967))

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Abstract

Detection of the corneal arcus by image analysis has important significance for the disintegration of the abnormal lipid metabolism. The traditional method is accompanied with the problem of robustness when the image is collected by non-invasive way. In this paper, an improved corneal arcus segmentation method is proposed. Firstly, locate the candidate area by detecting the eyelid and eyelash. Secondly, on the definition of similarity and the projection of color components, the Union-Find algorithm is used to accomplish the clustering of the target. Finally, the color metrics is defined to complete the segmentation of the corneal arcus. 1968 images from our database are analyzed segmentation accuracy reaches 95.4 % respectively.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No.61271365)

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Authors and Affiliations

  1. Computer Vision Group, Shenyang University of Technology, No.111, ShenLiao West Road, Economic and Technological Development Zone, Shenyang, 110087, People’s Republic of China

    Le Chang & Weiqi Yuan

  2. Guidaojiaotong Polytechnic Institute, No.13 Street, Economic and Technological Development Zone, Shenyang, 110023, People’s Republic of China

    Le Chang

Authors
  1. Le Chang
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  2. Weiqi Yuan
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Corresponding author

Correspondence to Le Chang .

Editor information

Editors and Affiliations

  1. Sichuan University , Chengdu, China

    Zhisheng You

  2. Tsinghua University , Beijing, China

    Jie Zhou

  3. Beihang University , Beijing, China

    Yunhong Wang

  4. Chinese Academy of Sciences , Beijing, China

    Zhenan Sun

  5. Chinese Academy of Sciences , Beijing, China

    Shiguang Shan

  6. Sun Yat-sen University , Guangzhou, China

    Weishi Zheng

  7. Tsinghua University , Beijing, China

    Jianjiang Feng

  8. Sichuan University , Chengdu, China

    Qijun Zhao

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© 2016 Springer International Publishing AG

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Chang, L., Yuan, W. (2016). Corneal Arcus Segmentation Method in Eyes Opened Naturally. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_43

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  • DOI: https://doi.org/10.1007/978-3-319-46654-5_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46653-8

  • Online ISBN: 978-3-319-46654-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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