Abstract
This paper proposes a new optic disc recognition method in colour retinal images. Our previous approaches localized the optic disc in two steps: (a) in the green component of RGB image the optic disc area is detected based on texture indicators and pixel intensity variance analysis; (b) on the segmented area the optic disc edges are extracted and the resulted boundary is approximated by a Hough transform. The new method localizes the optic disc area by analysis of blood vessels network extracted in the green channel of the original image. Then, using an iterative approach, in the segmented area the optic disc edges are approximated by a circle Hough transform.
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Acknowledgments
The work was done as part of the research collaboration with University of Medicine and Pharmacy “Gr. T. Popa” Iaşi to analyse retinal images for early prevention of ophthalmic diseases.
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Rotaru, F., Bejinariu, S.I., Niţă, C.D., Luca, R., Luca, M., Ignat, A. (2016). Optic Disc Recognition Method for Retinal Images. In: Balas, V., Jain, L., Kovačević, B. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-18416-6_69
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DOI: https://doi.org/10.1007/978-3-319-18416-6_69
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