A Novel Method to Resolve Artifact Errors on Retinal Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
The retina (fundus) has a very specific diagnostic role regarding human health. The eye is a window into the body responsible for sensing information in the visible light domain, thus, it is also suitable to make clinical diagnoses in a noninvasive manner. The retina is a layered structure with several layers of neurons interconnected by synapses. By-products are produced while absorbing light. It leads to the formation of fundus. If the fundus is identified at early stages the patient can be easily overcome from vision loss. Suppose if a person is affected due to fundus and if the light reflections overlaps on fundus it is very difficult to diagnose. Fundus image can be identified by using ophthalmoscopy or using fundus photography. In this fundus spot is categorized through extraction of features from retinal fundus images. This tries to address the problem of removing unwanted reflection layer from the retinal image .These reflections may occur due to semi-reflective glass mediums. This type of problem falls under the category of blind source separation. An image processing technique is proposed for the detection of artifacts on retinal images due to light reflections. It can be eliminated using mat lab. The major advantage of this process is to detect fundus spot completely without any unwanted blur.
Authors and Affiliations
A. Senthil Kumar, S. Raja, Aiswarya. M, Gayathri. R, Gomathi S
Keywords
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- EP ID EP23680
- DOI http://doi.org/10.22214/ijraset.2017.3218
- Views 251
- Downloads 4
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