Indian Journal of Public Health Research & Development

Macular hole is a tear or break in the macula, located in the center of the retina. A macular hole affects central vision of human; the vision will be wavy, blurry and distorted. Macular hole commonly affects aged women.

Optical Coherence Tomography (OCT) enables accurate diagnosis of macular hole. Existing algorithms available related to finding layers and cyst detection, but identifying macular hole in an accurate manner is still a missing entity. Hence we propose a fully automated system for the accurate macular hole identification.

Ee propose a fully automated system for the accurate macular hole identification. The proposed methodology has six stages in process. The first stage starts with preprocessing the OCT image, then by Nerve Fiber Layer (NFL) detection. The detected NFL layer is then processed using our proposed method.

It helps to identify the macular hole from the OCT images. The proposed methodology is evaluated with the health macula and macular hole OCT images. By experimentation results, the proposed algorithm provides 87% accuracy in finding macular hole.