Abstract: The main objective of medical image processing field is to design computational tools which will assist quantification and visualization of remarkable pathology and anatomical structure . A medical condition known as diabetic retinopathy occurs when fluids from blood vessels seep into there in a of the human eye , causing damage to the retina. The detection of the optic disc in pictures of the retinal fundus quantitative study of the evolution of its figure the next entplaya significant part in diagnosing different pathologies, and the abnormalities related to the retina of human eye. Maximum of there abnormalities which are related to optic disc may leads to a structural changes in theinner and the outer area the optical disc. The precise border of the optical disc is obtained by calculating the region of interest and applying an in no vative morphological transformation based adaptive thresholding. The presented technique helps to reduce the process area needed for segmentation techniques leading to a distinguished performance enhancement and reducing the amount of the needed computational cost for each retinal fundus image. The proposed technique has been evaluated on publicly available data sets of retinal images which are DIARETDB1, DRIVE, HRF, DRIONS-DB, IDRiD and STARE, and a remarkable improvement has been found over the existing techniques in terms of accuracy and processing time.
Keywords: Retinal image analysis, Regionof-Interest, CLAHE, optic disc, morphological operation, segmentation, and classification.
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DOI:
10.17148/IJARCCE.2023.126121
