Exit Menu

Retinal image analysis


Project description

We perform the analysis of retinal images by detecting the eye structures such as the blood vessels and optic disc first. Then the retinal image is analysed to detect the suspicious lesion regions if any. The segmentation of blood vessel is based on the Graph Cut technique. In opposed to the traditional formulation of the graph which is normally ineffective for long, thin structures like the blood vessel, we have included the flux vectors in the graph construction and achieved better results on a number of public datasets. We have addressed the problem of optic disc segmentation based on prior blood vessel segmentation. Two different methods have been developed and evaluated: a direct extension of the Graph Cut method with a compensation factor to eliminate the interference of blood vessels, and the background reconstruction on the blood vessels using Markov Random Field. Based on the results of blood vessels and optic disc, a further detection and classification of suspicious lesion areas in the retinal is performed.


  • Dodo, B., Li, Y., Eltayef, K., & Liu, X. Graph-Cut Segmentation of Retinal Layers from OCT Images. In International Conference on Bioimaging. Portugal, 2018. Best Student Paper Award.
  • Wang, C., Wang, Y., & Li, Y. Automatic Choroidal Layer Segmentation Using Markov Random Field And Level Set Method. IEEE Journal of Biomedical and Health Informatics, volume 21, issue 6, pages 1694-1702, 2017.
  • Djibril Kaba, Yaxing Wang, Chuang Wang, Xiaohui Liu, Haogang Zhu, Ana G. Salazar-Gonzalez and Yongmin Li. Retina Layer Segmentation Using Kernel Graph Cuts and Continuous Max-Flow. Optics Express, volume 23, issue 6, pages 7366-7384, 2015.
  • Ana Salazar-Gonzalez, Djibril Kaba, Yongmin Li and Xiaohui Liu. Segmentation of blood vessels and optic disc in retinal images. IEEE Journal of Biomedical and Health Informatics, volume 18, number 6, page 1874-1886, 2014.
  • A. Salazar-Gonzalez, D. Kaba and Y. Li. MRF Reconstruction of Retinal Images for the Optic Disc Segmentation. In Proc. International Conference on Health Information Science (HIS 2012), Beijing, China, 2012. Best Paper Award.
  • A. Salazar-Gonzalez, Y. Li and X. Liu. Optic Disc Segmentation by Incorporating Blood Vessel Compensation. In Proc. International Workshop on Computational Intelligence in Medical Imaging, Paris, France, 2011.
  • A. Salazar-Gonzalez, Y. Li and X. Liu. Retinal blood vessel segmentation via graph cut. In Proc. International Conference on Control, Automation, Robotics and Vision, Singapore, December 2010