Abstract
This paper presents an automated retinal blood vessels segmentation approach based on flower pollination search algorithm (FPSA). The flower pollination search is a new algorithm based on the flower pollination process of flowering plants. The FPSA searches for the optimal clustering of the given retinal image into compact clusters under some constrains. Shape features are used to further enhance the clustering results using local search method. The proposed retinal blood vessels approach is tested on a publicly available databases DRIVE a of retinal images. The results demonstrate that the performance of the proposed approach is comparable with state of the art techniques in terms of accuracy, sensitivity and specificity.
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References
Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A.R., Owen, C.G., Barman, S.A.: Blood vessel segmentation methodologies in retinal images-a survey. Comput. Methods Programs Biomed. 108(1), 407–433 (2012)
Wang, J.J., Taylor, B., Wong, T.Y., Chua, B., Rochtchina, E., Klein, R., Mitchell, P.: Retinal vessel diameters and obesity: a population-based study in older persons. Obesity (Silver Spring) 14(2), 206–214 (2006)
Foracchia, M., Grisan, E., Ruggeri, A.: Extraction and quantitative description of vessel features in hypertensive retinopathy fundus images. In: Book Abstracts of 2nd International Workshop on Computer Assisted Fundus Image Analysis (2011)
Mitchell, P., Leung, H., Wang, J.J., Rochtchina, E., Lee, A.J., Wong, T.Y., Klein, R.: Retinal vessel diameter and open-angle glaucoma: the blue mountains eye study. Ophthalmology 112(2), 245–250 (2005)
Goatman, K., Charnley, A., Webster, L., Nussey, S.: Assessment of automated disease detection in diabetic retinopathy screening using two-field photography. PLoS One 6(12), 275–284 (2011)
Heneghan, C., Flynn, J., OKeefe, M., Cahill, M.: Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis. Med. Image Anal. 6, 407–429 (2002)
Lowell, J., Hunter, A., Steel, D., Basu, A., Ryder, R., Kennedy, R.L.: Measurement of retinal vessel widths from fundus images based on 2D modeling. IEEE Trans. Med. Imaging 23, 1196–1204 (2004)
Haddouche, A., Adel, M., Rasigni, M., Conrath, J., Bourennane, S.: Detection of the foveal avascular zone on retinal angiograms using markov random fields. Digital Signal Processing 20, 149–154 (2010)
Grisan, E., Ruggeri, A.: A divide et impera strategy for automatic classification of retinal vessels into arteries and veins. In: Proc. of the 25th Annual International Conf. of the IEEE Engineering in Medicine and Biology Society, vol. 891, pp. 890–893 (2003)
Kanski, J.J.: Clinical Ophthalmology, 6th edn. Elsevier Health Sciences, London (2007)
Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A.R., Owen, C.G., Barman, S.A.: Blood vessel segmentation methodologies in retinal images A survey. Computer Methods and Programs in Biomedicine 108, 407–433 (2012)
Staal, J.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. Imaging 23(4), 501–509 (2004)
Yang, X.-S.: Flower pollination algorithm for global optimization. In: Durand-Lose, J., Jonoska, N. (eds.) UCNC 2012. LNCS, vol. 7445, pp. 240–249. Springer, Heidelberg (2012)
Pavlyukevich, I.: Levy flights, non-local search and simulated annealing. J. Computational Physics 226, 1830–1844 (2007)
MacQueen, J.B.: Some Methods for classification and Analysis of Multivariate Observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297. University of California Press (2009) (retrieved April 07, 2009); MR 0214227. Zbl 0214.46201
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
Pal, N.R., Pal, K., Keller, J.M., Bezdek, J.C.: A Possibilistic Fuzzy c-Means Clustering Algorithm. IEEE Trans. on Fuzzy systems 13(4), 517–530 (2005)
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Emary, E., Zawbaa, H.M., Hassanien, A.E., Tolba, M.F., Snášel, V. (2014). Retinal Vessel Segmentation Based on Flower Pollination Search Algorithm. In: Kömer, P., Abraham, A., Snášel, V. (eds) Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014. Advances in Intelligent Systems and Computing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-08156-4_10
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DOI: https://doi.org/10.1007/978-3-319-08156-4_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08155-7
Online ISBN: 978-3-319-08156-4
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