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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 401413, 9 pages
http://dx.doi.org/10.1155/2013/401413
Research Article

Bayesian Method with Spatial Constraint for Retinal Vessel Segmentation

Institut Fresnel/UMR-CNRS, D. U. de Saint-Jérôme, 13013 Marseille, France

Received 20 March 2013; Revised 22 May 2013; Accepted 10 June 2013

Academic Editor: William Crum

Copyright © 2013 Zhiyong Xiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • Jardel Rodrigues, and Nivando Bezerra, “Retinal Vessel Segmentation Using Parallel Grayscale Skeletonization Algorithm and Mathematical Morphology,” 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 17–24, . View at Publisher · View at Google Scholar
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  • Temitope Mapayi, Serestina Viriri, and Jules-Raymond Tapamo, “Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on GLCM-Energy Information,” Computational and Mathematical Methods in Medicine, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Temitope Mapayi, Serestina Viriri, and Jules-Raymond Tapamo, “Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques,” Computational and Mathematical Methods in Medicine, vol. 2015, pp. 1–15, 2015. View at Publisher · View at Google Scholar
  • Pavel Vostatek, Ela Claridge, Hannu Uusitalo, Markku Hauta-Kasari, Pauli Fält, and Lasse Lensu, “Performance Comparison of Publicly Available Retinal Blood Vessel Segmentation Methods,” Computerized Medical Imaging and Graphics, 2016. View at Publisher · View at Google Scholar
  • Jules R. Tapamo, Adedayo O. Adio, Temitope Mapayi, and Serestina Viriri, “Automatic retinal vessel detection and tortuosity measurement,” Image Analysis and Stereology, vol. 35, no. 2, pp. 117–135, 2016. View at Publisher · View at Google Scholar
  • Chetan L Srinidhi, P Aparna, and Jeny Rajan, “Recent Advancements in Retinal Vessel Segmentation,” Journal of Medical Systems, vol. 41, no. 4, 2017. View at Publisher · View at Google Scholar
  • Indumathi, and Uma, “Vascular tree segmentation algorithm,” Journal of Computational and Theoretical Nanoscience, vol. 14, no. 12, pp. 5731–5734, 2017. View at Publisher · View at Google Scholar
  • Sara Moccia, Elena De Momi, Sara El Hadji, and Leonardo S. Mattos, “Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics,” Computer Methods and Programs in Biomedicine, vol. 158, pp. 71–91, 2018. View at Publisher · View at Google Scholar
  • Haiping Yu, Fazhi He, and Yiteng Pan, “A novel region-based active contour model via local patch similarity measure for image segmentation,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar
  • Shahzad Akbar, Muhammad Sharif, Muhammad Usman Akram, Tanzila Saba, Toqeer Mahmood, and Mahyar Kolivand, “Automated techniques for blood vessels segmentation through fundus retinal images: A review,” Microscopy Research and Technique, 2019. View at Publisher · View at Google Scholar