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MRF Reconstruction of Retinal Images for the Optic Disc Segmentation

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7231)

Abstract

The retinal image analysis has been of great interest because of its efficiency and reliability for optical diagnosis. Different techniques have been designed for the segmentation of the eye structures and lesions. In this paper we present an unsupervised method for the segmentation of the optic disc. Blood vessels represent the main obstruction in the optic disc segmentation process. We made use of our previous work in blood vessel segmentation to perform an image reconstruction using the Markov Random Field formulation (MRF). As a result the optic disc appears as a well defined structure. A traditional graph is then constructed using spatial pixel connections as boundary term and the likelihood of the pixels belonging to the foreground and background seeds as regional term. Our algorithm was implemented and tested on two public data sets, DIARETDB1 and DRIVE. The results are evaluated and compared with other methods in the literature.

Keywords

  • Retinal image
  • segmentation
  • optic disc
  • retinal lesions

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© 2012 Springer-Verlag Berlin Heidelberg

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Salazar-Gonzalez, A., Li, Y., Kaba, D. (2012). MRF Reconstruction of Retinal Images for the Optic Disc Segmentation. In: He, J., Liu, X., Krupinski, E.A., Xu, G. (eds) Health Information Science. HIS 2012. Lecture Notes in Computer Science, vol 7231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29361-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-29361-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29360-3

  • Online ISBN: 978-3-642-29361-0

  • eBook Packages: Computer ScienceComputer Science (R0)