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Superpixel-Based Line Operator for Retinal Blood Vessel Segmentation

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Book cover Medical Image Understanding and Analysis (MIUA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 723))

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Abstract

Automated detection of retinal blood vessels plays an important role in advancing the understanding of the mechanism, diagnosis and treatment of cardiovascular disease and many systemic diseases. Here, we propose a new framework for precisely segmenting vasculatures. The proposed framework consists of two steps. Inspired by the Retinex theory, a non-local total variation model is introduced to address the challenges posed by intensity inhomogeneities and relatively poor contrast. For better generalizability and segmentation performance, a superpixel based line operator is proposed as to distinguish between lines and the edges, and thus allows more tolerance in the position of the respective contours. The results on three public datasets show superior performance to its competitors, implying its potential for wider applications.

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Notes

  1. 1.

    http://www.ces.clemson.edu/~ahoover/stare/.

  2. 2.

    http://www.isi.uu.nl/Research/Databases/DRIVE/.

  3. 3.

    http://www.retinacheck.org.

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Acknowledgments

This work was supported by National Science Foundation Program of China (61601029, 61602322), China Association for Science and Technology (2016QNRC001), and National Key Research and Development Program of China (2016YFB0401202).

Author information

Authors and Affiliations

  1. Georgetown Preparatory School, North Bethesda, 20852, USA

    Tong Na

  2. Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optoelectronics, Beijing Institute of Technology, Beijing, China

    Tong Na, Yitian Zhao & Yue Liu

  3. EPSRC Centre for Innovative Manufacturing in Through-life Engineering Services, Cranfield University, Cranfield, UK

    Yifan Zhao

Authors
  1. Tong Na
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  2. Yitian Zhao
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  3. Yifan Zhao
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  4. Yue Liu
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Corresponding author

Correspondence to Yitian Zhao .

Editor information

Editors and Affiliations

  1. Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom

    María Valdés Hernández

  2. University of León, León, Spain

    Víctor González-Castro

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Na, T., Zhao, Y., Zhao, Y., Liu, Y. (2017). Superpixel-Based Line Operator for Retinal Blood Vessel Segmentation. In: Valdés Hernández, M., González-Castro, V. (eds) Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-60964-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-60964-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60963-8

  • Online ISBN: 978-3-319-60964-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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