Auto Detection Hard Exudates by Using VistaView Devise Based on Hybrid Algorithm

Untreated diabetic retinopathy (DR) can lead to various levels of visual impairment and potentially complete loss of eyesight. Annual eye examinations are crucial in identifying potential visual impairments, especially for individuals with diabetes, to prevent early-stage vision deterioration. Technological advancements have made retinal imaging technologies for cell phones commercially available, enabling cost-effective and efficient screening for diabetic retinopathy in various settings. This study examines multiple approaches to handling retinal images in ophthalmology to identify and assess abnormalities. Fundus cameras are expensive and heavy, making compact, portable, and reasonable retinal imaging technologies for quick DR screening necessary. The Vistaview retinal imaging system, with its superior image quality and extensive field of view, is examined for DR screening during a general health exam. The effectiveness of MRLS, a multilevel rhombus segmentation method, is investigated for identifying lesions in retinal images caused by conditions like diabetic retinopathy. This work is a significant step towards developing reliable and effective strategies for diagnosing and treating retinal disorders promptly.