This paper is published in Volume-3, Issue-2, 2017
Area
Image Processing Using MATLAB
Author
Nirav Gori, Hardik Kadakia, Vinayak Kashid, Mrs. Pranali Hatode
Org/Univ
K. J. Somaiya Institute of Engineering and Information Technology, Mumbai, Maharashtra, India
Pub. Date
17 April, 2017
Paper ID
V3I2-1508
Publisher
Keywords
Diabetic Retinopathy, Exudates, Hemorrhages, Microaneurysm.

Citationsacebook

IEEE
Nirav Gori, Hardik Kadakia, Vinayak Kashid, Mrs. Pranali Hatode. Detection and Analysis of Microanuerysm in Diabetic Retinopathy Using Fundus Image Processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nirav Gori, Hardik Kadakia, Vinayak Kashid, Mrs. Pranali Hatode (2017). Detection and Analysis of Microanuerysm in Diabetic Retinopathy Using Fundus Image Processing. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Nirav Gori, Hardik Kadakia, Vinayak Kashid, Mrs. Pranali Hatode. "Detection and Analysis of Microanuerysm in Diabetic Retinopathy Using Fundus Image Processing." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

Diabetic-related eye disease is a major cause of blindness in the world. It is a complication of diabetes which can also affect various parts of the body. When the small blood vessels have a high level of glucose in the retina, the vision will be blurred and can cause blindness eventually, which is known as diabetic retinopathy.Detection of the disease at an early stage enables the patient to get treatment by advanced methods like laser treatment to prevent total blindness. The paper deals with detecting the diabetic retinopathy retinal changes. The retinal images are first subjected to pre-processing techniques like colour normalization and enhancement process. There may exist different kinds of lesions caused by diabetic retinopathy in a diabetic patient’s eye such as micro aneurysm, hard exudates, soft exudates, hemorrhage etc. Automated analysis of the fundus (retinal image) image is very much essential and will be of help to facilitate the clinical diagnosis.
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