AUTOMATIC DETECTION OF DIABETIC RETINOPATHY THROUGH OPTIC DISC USING MORPHOLOGICAL METHODS

Udayakumar E; Santhi S; Yogeshwaran K; Rama J

doi:10.22159/ajpcr.2017.v10i4.16962

Authors

Udayakumar E
Santhi S
Yogeshwaran K
Rama J

DOI:

https://doi.org/10.22159/ajpcr.2017.v10i4.16962

Abstract

This paper proposes a method for the automatic detection of optic disc in retinal images. In the diagnosis and grading, the essential step is recognition of optic disk for diabetic retinopathy. The analysis of directional cross section profile focused on the local maximum pixel of pre-processed image is realized by the proposed method using optic disc detection. Each profile is implemented by peak detection and property like shape, size and height of the peak are estimated. The statistical measure of the estimated values for the attributes, where the orientation of the cross-section changes the constitute feature used in morphological classification to exclude encourages candidates. The result is to find the patient is affected by diabetics or not.

Keywords: Diabetic retinopathy, Optic disk, Naives Bayes algorithm, Local maximum region.

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References

Udayakumar E, Dhivya S, Pugalarasi M, Srihariand K, Karthik S. Certain investigation on human body using various algorithms. Aust J

Basic Appl Sci AENSI J 2014;8:559-64.

Lazar I, Hajdu A. Retinal microaneurysm detection through local rotating cross-section profile analysis. IEEE Trans Med Imaging 2013;32(2).

Antal B, Hajdu A. An ensemble-based system for microaneurysm

detection and diabetic retinopathy grading. IEEE Trans Biomed Eng 2012;59(6):1720-6.

Niemeijer M, van Ginneken B, Cree MJ, Mizutani A, Quellec G, Sanchez CI, et al. Retinopathy online challenge: Automatic detection of microaneurysms in digital color fundus photographs. IEEE Trans Med Imaging 2010;29(1):185-95.

Abdurrazak M, Rao MU, Ado AB, Mohd KS, Zin T. Some natural products and their secondary metabolites attributed towards diabetic

cure: A review. Int J Pharm Pharm Sci 2015.

Kalsi A, Singh S, Taneja N, Kukal S, Mani S. Current treatments

for Type 2 diabetes, their side effects and possible complementary

treatments. Int J Pharm Pharm Sci 2015;7(3):13-8.

Lazar I, Hajdu A. Microaneurysm Detection in Retinal Images Using a Rotating Cross-section Based Model. In: 2011 IEEE International Symposium on Biomedical Imaging; 2011. p. 1405-9.

Agurto C, Barriga ES, Murray V, Nemeth S, Crammer R, Bauman W, et al. Automatic detection of diabetic retinopathy and age-related macular degeneration in digital fundus images. Invest Ophthalmol Vis

Sci 2011;52(8):5862-71.

Giancardo L, Meriaudeau F, Karnowski TP, Li Y, Tobin KW, Chaum E. Microaneurysm Detection with Radon Transform-based Classification on Retina Images. Proceeding IEEE Annual International Conference EMBC; 2011. p. 5939-42.

AbrÃ moff MD, Reinhardt JM, Russell SR, Folk JC, Mahajan VB, Niemeijer M, et al. Automated early detection of diabetic retinopathy.

Ophthalmology 2010;117(6):1147-54.