Authors - Fawzy Alsharif, Hasan Kaan Aldemir, Akay Deliorman Abstract - This paper presents image processing techniques for detecting eye diseases such as Vessel Tortuosity (VT), Glaucoma, Central Serous Retinopathy (CSR), and Diabetic Retinopathy (DR). The system supports early symptom detection, condition monitoring, and timely intervention. For VT, green channel extraction, Gaussian blurring, and Otsu thresholding isolate vessels, followed by morphological operations and thinning for curvature analysis. In Glaucoma, contrast enhancement and multi-level Otsu thresholding segment the optic disc and cup, enabling Cup-to-Disc Ratio calculation. For CSR, green channel processing and Gaussian blurring highlight fluid accumulation. In DR, lesion visibility is improved through green channel extraction, blurring, and morphological filtering. This integrated approach enhances image clarity and segmentation, achieving 97%–99% accuracy in early disease detection.