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A Local Flow Phase Stretch Transform for Robust Retinal Vessel Detection

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12002))

Abstract

This paper presents a new method for reliably detecting retinal vessel tree using a local flow phase stretch transform (LF-PST). A local flow evaluator is proposed to increase the local contrast and the coherence of the local orientation of vessel tree. This is achieved by incorporating information about the local structure and direction of vessels, which is estimated by introducing a second curvature moment evaluation matrix (SCMEM). The SCMEM evaluates vessel patterns as only features having linearly coherent curvature. We present an oriented phase stretch transform to capture retinal vessels running at various diameters and directions. The proposed method exploits the phase angle of the transform, which includes structural features of lines and curved patterns. The LF-PST produces several phase maps, in which the vessel structure is characterized along various directions. To produce an orientation invariant response, all phases are linearly combined. The proposed method is tested on the publicly available DRIVE and IOSTAR databases with different imaging modalities and achieves encouraging segmentation results outperforming the state-of-the-art benchmark methods.

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Authors and Affiliations

  1. School of Engineering, Griffith University, Brisbane, Australia

    Mohsin Challoob & Yongsheng Gao

Authors
  1. Mohsin Challoob
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  2. Yongsheng Gao
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Corresponding author

Correspondence to Mohsin Challoob .

Editor information

Editors and Affiliations

  1. DGA, Paris, France

    Jacques Blanc-Talon

  2. University of Auckland, Auckland, New Zealand

    Patrice Delmas

  3. Ghent University, Ghent, Belgium

    Wilfried Philips

  4. CSIRO, Canberra, Australia

    Dan Popescu

  5. University of Antwerp, Wilrijk, Belgium

    Paul Scheunders

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Challoob, M., Gao, Y. (2020). A Local Flow Phase Stretch Transform for Robust Retinal Vessel Detection. In: Blanc-Talon, J., Delmas, P., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2020. Lecture Notes in Computer Science(), vol 12002. Springer, Cham. https://doi.org/10.1007/978-3-030-40605-9_22

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  • DOI: https://doi.org/10.1007/978-3-030-40605-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40604-2

  • Online ISBN: 978-3-030-40605-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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