Automatic Diabetic Retinopathy Diagnosis using Prewitt Edge Detection & Color Mapping from Fundus Imaging
Megha Deshmukh1, Vineeta Saxena Nigam2
1Megha Deshmukh*, Department of Electronics and Communication, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, (M.P), India.
2Dr. Vineeta Saxena Nigam, Department of Electronics and Communication, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, (M.P), India.
Manuscript received on January 07, 2021. | Revised Manuscript received on January 12, 2021. | Manuscript published on February 28, 2021. | PP: 19-23 | Volume-10 Issue-4, February 2021 | Retrieval Number: 100.1/ijitee.D84330210421| DOI: 10.35940/ijitee.D8433.0210421
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Automatic Diabetic Retinopathy Detection, Fundus Imaging, Optic Disc, Optic Cup, Prewitt Edge Detection, Color Mapping, Retinal Image, Hemorrhages.