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Optic Disk Localization for Gray-Scale Retinal Images Based on Patch Filtering

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Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8815))

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Abstract

In this paper, an optic disk (OD) localization method is proposed for the retinal images based on a novel patch filtering approach. The patch filtering has been performed sequentially based on clustering in two stages. In the first stage, the patches are selected exploiting an ’isotropic’ measure based on the ratio of maximum and minimum eigenvalues of the moment matrix representing the structure tensor. In the second stage, the patch filtering is based on the saliency measure. Finally, the optic disk is located from the centroids of the selected patches. Promising results are obtained for the low-contrast pathological retinal images using STARE database providing high localization accuracy.

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Author information

Authors and Affiliations

  1. Toronto Rehabilitation Institute, University of Toronto, Toronto, ON, Canada

    F. Sattar

  2. INESC Technology and Science and the Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Aurélio Campilho

  3. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

    M. Kamel

Authors
  1. F. Sattar
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  2. Aurélio Campilho
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  3. M. Kamel
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Corresponding author

Correspondence to F. Sattar .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Porto, Porto, Portugal

    Aurélio Campilho

  2. Dept. of Electrical and Computer Eng., University of Waterloo, Waterloo, Ontario, Canada

    Mohamed Kamel

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© 2014 Springer International Publishing Switzerland

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Sattar, F., Campilho, A., Kamel, M. (2014). Optic Disk Localization for Gray-Scale Retinal Images Based on Patch Filtering. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_31

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  • DOI: https://doi.org/10.1007/978-3-319-11755-3_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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