AUTOMATIC DETECTION OF DIABETIC RETINOPATHY THROUGH OPTIC DISC USING MORPHOLOGICAL METHODS


Udayakumar E, Santhi S, Yogeshwaran K, Rama J

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


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About this article

Title

AUTOMATIC DETECTION OF DIABETIC RETINOPATHY THROUGH OPTIC DISC USING MORPHOLOGICAL METHODS

DOI

10.22159/ajpcr.2017.v10i4.16962

Date

01-04-2017

Additional Links

Manuscript Submission

Journal

Asian Journal of Pharmaceutical and Clinical Research
Vol 10 Issue 4 April 2017 Page: 28-31

Print ISSN

0974-2441

Online ISSN

2455-3891

Statistics

146 Views | 88 Downloads

Authors & Affiliations

Udayakumar E

Santhi S

Yogeshwaran K

Rama J


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