Extraction of The Neural Edge and its Properties for The Retina Infected with Glaucoma

Glaucoma is a prevalent disease of the retina. The primary objective of the current study is to improve the expectation system to ensure that a person might get a Glaucoma and using the effective algorithms to skillfully identify the parts which will be influenced. To recognize and isolate the optic disc, optic cup and neuro-retinal rim, the method is invented in the current study which in return helps in the recognition of the change in the cup size and comparing it with the disc cup. The algorithm employed two steps to individualize the optic disc from the anatomical structure of the retina image and the major step depends on the severity threshold. It is the function of the schematic technique to notice the previous disorders, their size and locations depending on following steps which are: subtracting the region of the optic cup from that of the optic disc, dividing the resulted regions into four quadrants, comparing them according to ISNT and calculating the rim to disc ration where the four modern catcher algorithms are figured. Consequently, the researcher aims for the early discovering of the neural edge of the retina and its characteristics. This mechanism is used in more than 650 images of the retinal fundus of the ORIGA dataset is an important method for documenting retinal health. It has been worked on MATLAB 2020B where it accuracy reached to 98%.