Detection of Glaucoma and Diabetic Retinopathy using Image Processing Technique by Raspberry pi

摘要

Objectives: This study is centered on detection of eye diseases like glaucoma and diabetic retinopathy. Methods: This work proposes an Image processing based Embedded System to detect the diseases which cause blindness. At present, detection and tracing are performed physically, which can be a cause of poor repeatability. For feature extraction, hybrid algorithm is proposed for low cost automated glaucoma and retinopathy diagnosis. Artificial neural network classifier is used for classify the datasets. For hardware implementation Raspberry Pi 3 is used. Findings: The system disturbed with increasing automated techniques of producing measurable descriptions of the retinal images, used in diagnosis and assessment. About 90 images are used in datasets for classification. Application/Improvements: For low cost glaucoma and retinopathy diagnosis automatically. A camera module can be used in future.