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Blood vessel segmentation and extraction using H-minima method based on image processing techniques

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Abstract

In this paper, the H-minima transform is used for blood vessel segmentation. The aim of this study is to get the high accuracy of blood vessel segmentation in retinal images. In this study the good result and good performance were got. We compared our result with other methods. Also for simulation result we implemented on DRIVE and STARE database. The proposed method shows very remarkable performance on pathological retinal images. For the implementing of the proposed method MATLAB 2019a software is used. The running time of this method was 1 s for each image and the average accuracy for STARE dataset and DRIVE dataset achieved to 0.9591 and 0.9672 respectively.

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Authors and Affiliations

  1. Department of Material Science and Engineering, Kastamonu University, Kastamonu, Turkey

    Salma M. Boubakar Khalifa Albargathe

  2. Department of Biomedical Engineering, Kastamonu University, Kastamonu, Turkey

    Ersin Kamberli & Fatma Kandemirli

  3. Department of Electrical and Computer Engineering, Altinbas University, Istanbul, Turkey

    Javad Rahebi

Authors
  1. Salma M. Boubakar Khalifa Albargathe
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  2. Ersin Kamberli
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  3. Fatma Kandemirli
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  4. Javad Rahebi
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Correspondence to Ersin Kamberli.

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Boubakar Khalifa Albargathe, S.M., Kamberli, E., Kandemirli, F. et al. Blood vessel segmentation and extraction using H-minima method based on image processing techniques. Multimed Tools Appl 80, 2565–2582 (2021). https://doi.org/10.1007/s11042-020-09646-3

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  • DOI: https://doi.org/10.1007/s11042-020-09646-3

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