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Chinese Conference on Pattern Recognition

CCPR 2016: Pattern Recognition pp 182–190Cite as

Robust Optic Disc Detection Based on Multi-features and Two-Stage Decision Strategy

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 663))

Abstract

This paper proposes a robust method based on multi-features and two-stage decision strategy to locate the OD position. First, we use the global vessel distribution and directional characteristic and local appearance characteristic to find several OD candidates. Then we introduce the HOG to depict local details of OD candidates, and a SVM model is trained to classify OD and non OD candidate regions. Finally the correlation measure is used to remove redundant OD regions. This method has a good detection accuracy in normal images and diseased images. And the detection accuracy reached 97.9 % in four public image databases.

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Author information

Authors and Affiliations

  1. The College of Information Engineering, Xiangtan University, Xiangtan, 411105, China

    Wang Ying, Zhang Dongbo, Huang Huixian & Zhang Ying

  2. Institute Control Engineering of Xiangtan University, Xiangtan, 411105, China

    Zhang Dongbo, Huang Huixian & Zhang Ying

  3. Robot Visual Perception and Control Technology National Engineering Laboratory, Xiangtan, 411105, Hunan, China

    Zhang Dongbo, Huang Huixian & Zhang Ying

Authors
  1. Wang Ying
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  2. Zhang Dongbo
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  3. Huang Huixian
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  4. Zhang Ying
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Corresponding author

Correspondence to Wang Ying .

Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  2. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China

    Xuelong Li

  3. Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

    Xilin Chen

  4. Tsinghua University , Beijing, China

    Jie Zhou

  5. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  6. University of Electronic Science and Technology, Chengdu, Sichuan, China

    Hong Cheng

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© 2016 Springer Nature Singapore Pte Ltd.

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Cite this paper

Ying, W., Dongbo, Z., Huixian, H., Ying, Z. (2016). Robust Optic Disc Detection Based on Multi-features and Two-Stage Decision Strategy. In: Tan, T., Li, X., Chen, X., Zhou, J., Yang, J., Cheng, H. (eds) Pattern Recognition. CCPR 2016. Communications in Computer and Information Science, vol 663. Springer, Singapore. https://doi.org/10.1007/978-981-10-3005-5_16

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  • DOI: https://doi.org/10.1007/978-981-10-3005-5_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3004-8

  • Online ISBN: 978-981-10-3005-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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