Volume 11, Issue 1, October 2014, Pages 171–180
Mr. Pratap Vikhe1, Ms. Preeti Mistry2, and Mr. Chandrakant Kadu3
1 Instrumentation Engineering Department, Pravara Rural College of Engineering, Loni, Maharashtra, India
2 Biomedical Engineering Department, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
3 Instrumentation Engineering Department, Pravara Rural College of Engineering, Loni, Maharashtra, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The human eye is an organ which gives a sense of sight. Diabetic retinopathy is a most common diabetic eye disease which is a leading cause of blindness in India. Diabetic Retinopathy is a disease in which the retinal blood vessels swell and it may even leak. This damages the retina of the eye and may lead to vision loss if the level of diabetes is very high. Early diagnosis of Diabetic Retinopathy can prevent vision loss in patients. The method proposed in this paper for detection of Diabetic Retinopathy(DR) disease level emphasizes on determination of three important types of Diabetic Retinopathy; Macula Edema, Hemorrhages and Exudates. These types can be extracted using fundus images of patients and processing these fundus images through an appropriate image processing technique. Based on the presence of these types and their amount in the fundus image will determine the level of diabetic Retinopathy in patients.
Author Keywords: Diabetic Retinopathy, Macula Edema, Haemorrhages, Exudates, SVM classifier.
Mr. Pratap Vikhe1, Ms. Preeti Mistry2, and Mr. Chandrakant Kadu3
1 Instrumentation Engineering Department, Pravara Rural College of Engineering, Loni, Maharashtra, India
2 Biomedical Engineering Department, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
3 Instrumentation Engineering Department, Pravara Rural College of Engineering, Loni, Maharashtra, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The human eye is an organ which gives a sense of sight. Diabetic retinopathy is a most common diabetic eye disease which is a leading cause of blindness in India. Diabetic Retinopathy is a disease in which the retinal blood vessels swell and it may even leak. This damages the retina of the eye and may lead to vision loss if the level of diabetes is very high. Early diagnosis of Diabetic Retinopathy can prevent vision loss in patients. The method proposed in this paper for detection of Diabetic Retinopathy(DR) disease level emphasizes on determination of three important types of Diabetic Retinopathy; Macula Edema, Hemorrhages and Exudates. These types can be extracted using fundus images of patients and processing these fundus images through an appropriate image processing technique. Based on the presence of these types and their amount in the fundus image will determine the level of diabetic Retinopathy in patients.
Author Keywords: Diabetic Retinopathy, Macula Edema, Haemorrhages, Exudates, SVM classifier.
How to Cite this Article
Mr. Pratap Vikhe, Ms. Preeti Mistry, and Mr. Chandrakant Kadu, “Automatic Detection of Diabetic Retinopathy Level Using SVM Technique,” International Journal of Innovation and Scientific Research, vol. 11, no. 1, pp. 171–180, October 2014.
