Open AccessDiabetic retinopathy through retinal image analysis: A review
Author(s) -
Y. Madhu Sudhana Reddy,
R. S. Ernest Ravindran,
K. Hari Kishore
Publication year - 2017
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.5.9072
Subject(s) - preprocessor , computer science , artificial intelligence , diabetic retinopathy , segmentation , optic disk , pattern recognition (psychology) , image processing , sensitivity (control systems) , computer vision , retinal , image (mathematics) , ophthalmology , medicine , electronic engineering , engineering , diabetes mellitus , endocrinology
In this paper, the recent advancement in the Digital Image Processing Aspects in the Diabetic Retinopathy (DR) were been discussed. The major approaches in DR are categorized into four classes namely Preprocessing, Optic Disk Detection, Blood Vessel Extraction and supervised classification. The optic disk, blood vessels and exudates gives more analytical details about the retinal image, segmentation of those features are very important. Further these approaches are classified into finer classes based on the methodologies accomplished in the respective schemes. The details of the database those used for testing the proposed algorithms is also illustrated in this paper. The details of performance metrics such as accuracy, sensitivity, specificity, precision, recall and F-measure are also discussed through their mathematical expressions.