Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i29/146968
Year: 2019, Volume: 12, Issue: 29, Pages: 1-6
Original Article
S. G. Athira Lekshmi1* and G. M. Rajathi2
1Department of ECE, M.E Embedded System Technologies, Coimbatore, India; [email protected]
2Department of ECE, Sri Ramakrishna Engineering College Sri Ramakrishna Engineering College, Coimbatore − 641022, Tamil Nadu, India; [email protected]
*Author for correspondence
S. G. Athira Lekshmi
Department of ECE, M.E Embedded System Technologies, Coimbatore, India; [email protected]
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.
Keywords: ANN Classifier, Detection, Hybrid Algorithm, Eye Diseases, Raspberry Pi.
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