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Blood Bifurcation Structure and Global to Local Strategy Based Retinal Image Registration

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Pattern Recognition (CCPR 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 321))

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Abstract

A novel registration algorithm combining global and local registration technology is proposed. In this algorithm, bifurcation structures with 4 connected bifurcation points rather than single bifurcation points are used as the registration features. By reducing feature pairs, the efficiency of registration is improved. Moreover, due to non-linear deformation, there are some register errors appear in some local region. To solve this problem, a local registration technology is introduced to improve registration precision. Experiment results show that the algorithm effectively achieve fundus image registration with higher efficiency and precision.

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Author information

Authors and Affiliations

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

    Ben Shen, Dongbo Zhang & Yinghui Peng

  2. Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education, Hunan, Xiangtan, 411105, China

    Dongbo Zhang

Authors
  1. Ben Shen
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  2. Dongbo Zhang
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  3. Yinghui Peng
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Editor information

Editors and Affiliations

  1. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, No.95, Zhongguancun East Road, 100190, Beijing, China

    Cheng-Lin Liu

  2. Department of Automation, Tsinghua University, Haidian District, 100084, Beijing, China

    Changshui Zhang

  3. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, 100190, Beijing, China

    Liang Wang

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© 2012 Springer-Verlag Berlin Heidelberg

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Shen, B., Zhang, D., Peng, Y. (2012). Blood Bifurcation Structure and Global to Local Strategy Based Retinal Image Registration. In: Liu, CL., Zhang, C., Wang, L. (eds) Pattern Recognition. CCPR 2012. Communications in Computer and Information Science, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33506-8_49

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  • DOI: https://doi.org/10.1007/978-3-642-33506-8_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33505-1

  • Online ISBN: 978-3-642-33506-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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