Open AccessAutomatic Diabetic Retinopathy Diagnosis using Prewitt Edge Detection Color Mapping from Fundus Imaging
Author(s) -
Megha A. Deshmukh,
Vineeta Saxeigam
Publication year - 2021
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d8433.0210421
Subject(s) - prewitt operator , diabetic retinopathy , fundus (uterus) , blindness , retinopathy , ophthalmology , fundus camera , cotton wool spots , medicine , diabetes mellitus , retina , artificial intelligence , computer science , optometry , computer vision , edge detection , image processing , ophthalmoscopy , retinal , biology , image (mathematics) , neuroscience , endocrinology
Diabetic Retinopathy is a diabetic disease that directly affects the vision that causes damaged blood vessels at the back end of the eyes. It a complicated disease that cannot be recognized from normal eyes; a fundus imaging can reflect the impairments over the retina that causes partial or complete blindness that cannot be cured. It is mandatory for a routine examination that may lead to prevent from complete blindness because it can be prevented from current damaged blood vessels but it cannot be revert or treated. In the field of image processing; various diseases can be diagnosed automatically that saves humans life along with easiness for medical professionals. If a person pertains diabetes for a long time may have highest possibility for diabetic retinopathy. Here, the system has been proposed that can diagnose this disease with high level of accuracy with minimal false alarm rate. System uses Prewitt Edge Detection and Color Mapping techniques for recognizing diabetic retinopathy symptoms or damaged blood vessels from fundus imaging. Prewitt is highly sensitive for extracting impairments along with blood vessels and system is able to mask the unwanted area by using color correction tool.