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Automatika
Journal for Control, Measurement, Electronics, Computing and Communications
Volume 62, 2021 - Issue 2
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Special Issue: International Conference on Energy, Systems and Information Processing

Optic disc localization using interference map and localized segmentation using grab cut

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Pages 187-196 | Received 15 Oct 2019, Accepted 06 Mar 2020, Published online: 24 Aug 2020

References

  • Mittal G, Sivaswamy J. Optic disk and macula detection from retinal images using generalized motion pattern. In 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IEEE; 2015. p 1–4.
  • Chakravarty A, Sivaswamy J, et al. An assistive annotation system for retinal images. In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), IEEE; 2015. p. 1506–1509.
  • Walter T, Klein J-C. Segmentation of color fundus images of the human retina: Detection of the optic disc and the vascular tree using morphological techniques. In International Symposium on Medical Data Analysis, Springer; 2001, p. 282–287.
  • Abdel-Ghafar RA, Morris T. Progress towards automated detection and characterization of the optic disc in glaucoma and diabetic retinopathy. Med Inform Internet Med. 2007;32(1):19–25. doi: 10.1080/14639230601095865
  • Noor NM, Abdul Khalid NE, Md Ariff N. Optic cup and disc color channel multi-thresholding segmentation. In 2013 IEEE International Conference on Control System, Computing and Engineering, IEEE; 2013, p. 530–534.
  • Khalil T, Akram MU, Khalid S, et al. Improved automated detection of glaucoma from fundus image using hybrid structural and textural features. IET Image Proc. 2017;11(9):693–700. doi: 10.1049/iet-ipr.2016.0812
  • Sai Deepak K, Sivaswamy J. Automatic assessment of macular edema from color retinal images. IEEE Trans Med Imaging. 2012;31(3):766–776. doi: 10.1109/TMI.2011.2178856
  • Sivaswamy J, Krishnadas S, Chakravarty A, et al. A comprehensive retinal image dataset for the assessment of glaucoma from the optic nerve head analysis. JSM Biomedical Imaging Data Papers. 2015;2(1):1004.
  • Rother C, Kolmogorov V, Blake A. Grabcut: Interactive foreground extraction using iterated graph cuts. In ACM transactions on graphics (TOG), ACM; 2004. Vol 23, p. 309–314.
  • Boykov YY and Jolly M-P. Interactive graph cuts for optimal boundary & region segmentation of objects in nd images. In Proceedings Eighth IEEE International Conference on Computer Vision, ICCV 2001, IEEE; 2001. Vol 1, p. 105–112.
  • Talbot JF, Xu X. Implementing grabcut. Brigham Young University, 3, 2006.
  • Verbeek JJ, Vlassis N, Kröse B. Efficient greedy learning of Gaussian mixture models. Neural Comput. 2003;15(2):469–485. doi: 10.1162/089976603762553004
  • Orlin JB. Max flows in o (nm) time, or better. In Proceedings of the Forty-Fifth Annual ACM Symposium on Theory of Computing, ACM; 2013. p. 765–774.