International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,March 2017,

Topic : Identification of Ocular Pathology in retinal fundus images

Authors:C. Sai Praneeth || D.N. Kuldeep Shamgar

Abstract:Automated fundus image analysis plays an important role in the computer diagnosis of ophthalmologic disorders. A lot of eye disorders, as well as cardiovascular disorders, are known to be related with retinal vasculature changes. Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this paper focuses on retinal image analysis and their clinical implications. The most prevalent cause of blindness in the industrialized world is age related macular degeneration. Nowadays, the digital retinal image is frequently used to follow-up and diagnoses eye diseases. In age related macular degeneration, the macula is responsible for the sharp central vision needed for detailed activities such as reading, writing, driving, face recognition and ability to see colors. Age related macular degeneration is degeneration of the macula area and the delicate cells of the macula become inactive and stop working. Unfortunately, age related macular degeneration cannot be completely cured, but if diagnosed at an early stage degeneration laser treatment can help some people to prevent further deterioration of macula. The algorithm locates disease affected pixels on macula and displays their location. After pre-processing particle analysis tool is applied to locate the effected parts on the fundus image..

Keywords: Age related macular degeneration, drusen and retinal fundus image.

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DOI: 01.1617/vol4iss3pid034


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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