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Retinal Blood Vessel Segmentation and Bifurcation Point Detection

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Combinatorial Image Analysis (IWCIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9448))

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Abstract

The analysis of retinal blood vessel structure plays an important role in diagnosis of different diseases. Automated extraction of vascular network and identification of bifurcation points can be an important part of computer assisted analysis of retinal vascular disorders. In this paper, we propose an efficient method of automatic blood vessel extraction and bifurcation point detection from retinal images. The proposed method introduces the novel concept of relaxed digital arc for the removal of optic disc region to improve the correctness of the results. Experimental results show the effectiveness of the proposed method. We re-validate the quality of the proposed blood vessel segmentation approach by comparing the segmentation accuracy with existing approaches. The efficiency of bifurcation point detection process is evaluated by comparing manual bifurcation point count with the findings of the proposed approach.

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Acknowledgements

Authors would like to acknowledge Department of Science & Technology, Government of India, for financial support vide ref. no. SR/WOS-A/ET-1022/2014 under Woman Scientist Scheme to carry out this work. We also acknowledge the use of DRIVE database (http://www.isi.uu.nl/Research/Databases/DRIVE/download.php) images for implementation and testing of the proposed approach.

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Authors and Affiliations

  1. Department of Information Technology, Indian Institute of Engineering Science and Technology, Howrah, India

    Tapash Dutta & Nilanjan Dutta

  2. Advanced Computing and Microelectronics Unit, Indian Statistical Institute, Kolkata, India

    Oishila Bandyopadhyay

Authors
  1. Tapash Dutta
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  2. Nilanjan Dutta
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  3. Oishila Bandyopadhyay
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Correspondence to Oishila Bandyopadhyay .

Editor information

Editors and Affiliations

  1. SUNY Fredonia, Fredonia, New York, USA

    Reneta P. Barneva

  2. Advanced Computing and Microelectronics, Indian Statistical Institute, Kolkata, Germany

    Bhargab B. Bhattacharya

  3. SUNY Buffalo State, Buffalo, New York, USA

    Valentin E. Brimkov

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Dutta, T., Dutta, N., Bandyopadhyay, O. (2015). Retinal Blood Vessel Segmentation and Bifurcation Point Detection. In: Barneva, R., Bhattacharya, B., Brimkov, V. (eds) Combinatorial Image Analysis. IWCIA 2015. Lecture Notes in Computer Science(), vol 9448. Springer, Cham. https://doi.org/10.1007/978-3-319-26145-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-26145-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26144-7

  • Online ISBN: 978-3-319-26145-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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