Determination for Glaucoma disease based on red area percentage

Abstract

Glaucoma is a disease that destroys the optic nerve of the eye. As a result, it causes vision loss or blindness. However, with immediate diagnosis and treatment, eyes can be protected against severe vision loss. Most vision loss cases due to Glaucoma are preventable if the disease is treated in the early stages. Most Glaucoma cases happen without signs and symptoms because peripheral vision can be damaged before an individual's central vision is affected. The existing procedures to detect Glaucoma are time consuming and inconclusive at the clinic. Thus, the detection can benefit from an automated computer vision-based technique of eye images. Nevertheless, the major problem of intraocular pressure (IOP) that leads to Glaucoma goes under detected. This paper proposes an automatic risk detection process of Glaucoma by extracting a portion of the eye sclera and measuring the red area percentage. The database used in this research was acquired from Princess Basma Hospital containing one hundred facial images divided into fifty healthy cases and fifty non-healthy cases that have high pressure in the eye.

A Review on Glaucoma Disease Detection by using Fundus Images of Eye

“…Proposed approach gives an accuracy of 92% for glaucoma, but they do not take into account the vascular system that goes throughout the disc which interferes with the precision of detecting the correct pixels that belong to the disc. Mohammad Aloudat and Miad Faezipour [4] proposed a novel method for Glaucoma detection based on red area percentage level of the extracted portion of eye sclera, segmenting eye sclera is difficult especially with red eyes that usually exist in the case of Glaucoma. A specific part of sclera was extracted and red area percentage was calculated as the average of the white and black pixel in the extracted part of the sclera.…”