Automated localisation of optic disc in retinal colour fundus image for assisting in the diagnosis of glaucoma

Latifah Listyalina, Hanung Adi Nugroho, Sunu Wibirama, Widhia KZ Oktoeberza

Abstract


Optic disc (OD), especially its diameter together with optic cup diameter can be used as a feature to diagnose glaucoma. This study contains two main steps for optic disc localisation, i.e. OD centre point detection and OD diameter determination.  Centre point of OD is obtained by finding brightness pixel value based on average filtering.  After that, OD diameter is measured from the detected optic disc boundary.  The proposed scheme is validated on 30 healthy and glaucoma retinal fundus images from HRF database.  The results are compared to the ground truth images.  The proposed scheme obtains evaluation result (E) for healthy and glaucoma images is 0.23 and 0.21, respectively.  These results indicate successful implementation of automated OD localisation by detecting OD centre point and determining OD diameter.

Keywords


Optic disc centre point; optic disc diameter; retinal image; glaucoma

Full Text:

PDF

References


M. K. Dutta, A. K. Mourya, A. Singh, M. Parthasarathi, R. Burget, and K. Riha, Glaucoma detection by segmenting the super pixels from fundus colour retinal images, in Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on, 2014, pp. 86-90.

S. Bhartiya, R. Gadia, H. S. Sethi, and A. Panda, Clinical evaluation of optic nerve head in glaucoma, Journal of Current Glaucoma Practice. 4 (2010) 115-132.

A. M. Jose and A. A. Balakrishnan, A novel method for glaucoma detection using optic disc and cup segmentation in digital retinal fundus images, in Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on, 2015, pp. 1-5.

Y.-C. Tham, X. Li, T. Y. Wong, H. A. Quigley, T. Aung, and C.-Y. Cheng, Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis, Ophthalmology. 121 (2014) 2081-2090.

Z. Zhang, B. H. Lee, J. Liu, D. W. K. Wong, N. M. Tan, J. H. Lim, et al., Optic disc region of interest localization in fundus image for glaucoma detection in ARGALI, in Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on, 2010, pp. 1686-1689.

D. D. Patil, R. R. Manza, G. C. Bedke, and D. D. Rathod, Development of primary glaucoma classification technique using optic cup & disc ratio, in Pervasive Computing (ICPC), 2015 International Conference on, 2015, pp. 1-5.

D. D. Patil, R. Manza, and G. C. Bedke, Diagnose glaucoma by proposed image processing methods, International Journal of Computer Applications. 106 (2014).

P. K. Kohli, Exact detection of optic disc in retinal images using segmentation based on level set method and morphological operations, Master Thesis, Computer Science and Applications, Thapar University, Patiala, 2012.

H. A. Nugroho, L. Listyalina, N. A. Setiawan, S. Wibirama, and D. A. Dharmawan, Automated segmentation of optic disc area using mathematical morphology and active contour, in Computer, Control, Informatics and its Applications (IC3INA), 2015 International Conference on, 2015, pp. 18-22.

M. Zubair, A. Yamin, and S. A. Khan, Automated detection of optic disc for the analysis of retina using color fundus image, in Imaging systems and techniques (IST), 2013 IEEE international conference on, 2013, pp. 239-242.

P. Choukikar, A. K. Patel, and R. S. Mishra, Segmenting the Optic Disc in Retinal Images Using Bi-Histogram Equalization and Thresholding the Connected Regions, International Journal of Emerging Technology and Advanced Engineering. 4 (2014) 10.

P. I. J. Odstrcilik, Analysis of retinal image data to support glaucoma diagnosis, Ph.D. Thesis, Department of Biomedical Engineering, Brno University of Technology, Czech Republic, 2014.

J. Kaur and D. H. Sinha, Automated localisation of optic disc and macula from fundus images, International journal of Advanced research in computer science and software engineering. 2 (2012).

S. Sekhar, W. Al-Nuaimy, and A. K. Nandi, Automated localisation of retinal optic disk using Hough transform, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, pp. 1577-1580.

F. Zana and J.-C. Klein, A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform, IEEE transactions on Medical Imaging. 18 (1999) 419-428.




DOI: http://dx.doi.org/10.21924/cst.2.1.2017.43

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Communications in Science and Technology

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International Licensejoomla
visitors View My Stats