Retinal Image Processing on Early Glaucoma Detection.

Autor: Sahana, H., Nandibewor, Archana, Qazi, Aijazahamed, Nikkam, Pushpalatha S.
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Zdroj: Alinteri Journal of Agriculture Sciences; 2021, Vol. 36 Issue 1, p138-141, 4p
Abstrakt: Glaucoma is a habitual eye disorder which harms eye's second cranial nerve. There are millions of second cranial nerves. The main function of these types of nerves is to sending captured visual information from retina to the brain. The escalate pressure in the human eye leads to Glaucoma. This heavy pressure is known as intraocular pressure. This heavy pressure leads to damage eye's optic nerve head and retina continuously further it tends to vision loss. In this paper there are two datasets including both normal person and affected person's eye color images. The principal aim of this project is to compare the color of the eye with these two datasets. A special camera which is attached to less power microscope is called fundus camera or retinal camera. The images captured by this type of fundus camera is called fundus picture[1]. It is a high dimensional laser image. MATLAB software tool is used to fulfill the feature extraction of these fundus images. A color pixel in the affected area of the person is measured to check whether a person is Glaucomatous or not. If the final result is positive then it is Glaucoma. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index