Authors: A. Reyana; V.T. Krishnaprasath; Sandeep Kautish; Ranjit Panigrahi; Mahaboob Shaik
Addresses: Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering, Lord Buddha Education Foundation (LBEF) Campus, Kathmandu, Nepal, India ' Department of Computer Science Applications, Sikkim Manipal University, Gantok, Sikkim, India ' Department of Electrical Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, Telangana, India
Abstract: Medical image analysis is recognised to be the most important research area for diagnosis and screening of a wide range of medical problems. The commonly discussed diabetic retinopathy has become a vital factor of serious eye diseases leading to eye blindness. Diabetes mellitus, a remarkable metabolic disorder, is rapidly increasing health threats worldwide. The major cause of Diabetic Retinopathy (DR) is the increase in blood insulin levels. The DR lesion thresholds inferred have protective effects and have no benefits for patients. From the fundus images the prediction of micro-aneurysms is still the major challenge. Micro-aneurysms formulation is the initial sign of DR to reduce the risk of non-proliferated DR. With this in mind, there exists a need for a diagnostic system, for early detection of DR to be used by the ophthalmologist to identify different types of lesions like haemorrhages and exudates. This paper presents a new approach to detect and classify exudates in coloured retinal images, eliminating the replication of exudates by removing the optic disc region. Our research aimed to extend the current knowledge of several image processing techniques including image enhancement, segmentation, classification, and registration for early diagnosis preventing visual impairment and blindness.
Keywords: diabetic; retinopathy; homogeneity; segmentation; blindness.
International Journal of Computer Applications in Technology, 2020 Vol.64 No.4, pp.375 - 381
Received: 27 Apr 2020
Accepted: 28 May 2020
Published online: 28 Jan 2021 *