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Fast Segmentation of Retinal Blood Vessels Using a Deformable Contour Model

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 7325))

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Abstract

This paper presents a deformable contour based method for blood vessel segmentation in digital retinal images. The method was evaluated on the publicly available DRIVE database, widely used for this purpose, since it contains retinal images where the vascular structure has been precisely marked by experts. Method performance is comparable to other existing solutions in literature, but it reaches the result faster than the others. Its effectiveness and velocity make this blood vessel segmentation technique suitable for retinal image computer analysis such as automated screening for early diabetic retinopathy detection.

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References

  1. Mendonça, A.M., Campilho, A.: Segmentation or retinal blood vessels by combining detection of centerlines and morphological reconstruction. IEEE Trans. Med. Imag. 25(9), 1200–1213 (2006)

    Article  Google Scholar 

  2. Taylor, H.R., Keeffe, J.E.: World blindness: a 21st century perspective. Br. J. Ophthalmol. 85, 261–266 (2001)

    Article  Google Scholar 

  3. Klein, R., Meuer, S.M., Moss, S.E., Klein, B.E.: Retinal microaneurysm counts and 10-year progression of diabetic retinopathy. Arch. Ophthalmol. 113, 1386–1391 (1995)

    Article  Google Scholar 

  4. Fong, D.S., Aiello, L., Gardner, T.W., King, G.L., Blankenship, G., Cavallerano, J.D., Ferris, F.L., Klein, R.: Diabetic retinopathy. Diabetes Care 26, 226–229 (2003)

    Article  Google Scholar 

  5. Marín, D., Aquino, A., Gegúndez-Arias, M.E., Bravo, J.M.: A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Trans. Med. Imag. 30(1), 146–158 (2011)

    Article  Google Scholar 

  6. Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., Goldbaum, M.: Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Med. Imag. 8(3), 263–269 (1989)

    Article  Google Scholar 

  7. Jiang, X., Mojon, D.: Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images. IEEE Trans. Pattern Anal. Mach. Intell. 25(1), 131–137 (2003)

    Article  Google Scholar 

  8. Espona, L., Carreira, M.J., Ortega, M., Penedo, M.G.: A Snake for Retinal Vessel Segmentation. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds.) IbPRIA 2007. LNCS, vol. 4478, pp. 178–185. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Martinez-Perez, M.E., Hughes, A.D., Thom, S.A., Bharath, A.A., Parker, K.H.: Segmentation of blood vessels from red-free and fluorescein retinal images. Med. Imag. Anal. 11, 47–61 (2007)

    Article  Google Scholar 

  10. Niemeijer, M., Staal, J.J., van Ginneken, B., Loog, M., Abramoff, M.D.: Comparative study of retinal vessel segmentation methods on a new publicly available database. In: Proc. SPIE Med. Imag: Image Process., vol. 5370, pp. 648–656 (2004)

    Google Scholar 

  11. Soares, J.V.B., Leandro, J.J.G., Cesar Jr., R.M., Jelinek, H.F., Cree, M.J.: Retinal vessel segmentation using the 2D Gabor wavelet and supervised classification. IEEE Trans. Med. Imag. 25(9), 1214–1222 (2006)

    Article  Google Scholar 

  12. Staal, J., Abramoff, M.D., Niemeijer, M., Viergever, M.A., van Ginneken, B.: Ridge based vessel segmentation in color images of the retina. IEEE Trans. Med. Imag. 23(4), 501–509 (2004)

    Article  Google Scholar 

  13. Caderno, I.G., Penedo, M.G., Mariño, C., Carreira, M.J., Gomez-Ulla, F., González, F.: Automatic Extraction of the Retina AV Index. In: Campilho, A.C., Kamel, M.S. (eds.) ICIAR 2004. LNCS, vol. 3212, pp. 132–140. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  14. Ortega, M., Mariño, C., Penedo, M.G., Blanco, M., González, F.: Personal authentication based on feature extraction and optic nerve location in digital retinal images. WSEAS Trans. on Computers 5(6), 1169–1176 (2006)

    Google Scholar 

  15. Condurache, A.P., Aach, T.: Vessel segmentation in angiograms using hysteresis thresholding. In: IAPR Conference on Machine Vision Applications, pp. 269–272 (2005)

    Google Scholar 

  16. Kass, M., Witkin, A., Terzopoulos, D.: Active contour models. Int. J. Computer Vision 1(2), 321–331 (1988)

    Article  Google Scholar 

  17. Blanco, M., Penedo, M.G., Barreira, N., Penas, M., Carreira, M.J.: Localization and Extraction of the Optic Disc Using the Fuzzy Circular Hough Transform. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 712–721. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidade de Santiago de Compostela, Spain

    María J. Carreira

  2. Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Spain

    Antonio Mosquera

  3. Institute of Molecular Systems Biology, ETH Zürich, Switzerland

    Lucia Espona

  4. VARPA Group, Departamento de Computación, Universidade da Coruña, Spain

    Manuel G. Penedo

Authors
  1. María J. Carreira

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  2. Lucia Espona

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  3. Manuel G. Penedo

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  4. Antonio Mosquera

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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

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© 2012 Springer-Verlag Berlin Heidelberg

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Carreira, M.J., Espona, L., Penedo, M.G., Mosquera, A. (2012). Fast Segmentation of Retinal Blood Vessels Using a Deformable Contour Model. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_42

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