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Comprehensive analysis of age related macula detection in digital retinal images

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Author: 
Shiny Priyadarshini, J. and Gladis, D.
Abstract: 

Retinal disorder is one of the major leading problem for permanent blindness where retinal analysis plays a vital role in diagnosis of retinal diseases. This paper highlights a very simple and straight forward approach for the segmentation of macula from the digital retinal images. The macula is extracted and the diameter is calculated using the mathematical morphological operations and it is also compared with the clinically accepted macula diameter. The results of the present study clearly depict that the extraction of macula for a healthy retina is more accurate than the diseased retina which automatically proves the presence of retinal diseases.

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