International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 51 - Number 19 |
Year of Publication: 2012 |
Authors: Jyoti Patil, A. L. Chaudhari |
10.5120/8149-1756 |
Jyoti Patil, A. L. Chaudhari . Development of Digital Image Processing using Fuzzy Gaussian Filter Tool for Diagnosis of Eye Infection. International Journal of Computer Applications. 51, 19 ( August 2012), 10-12. DOI=10.5120/8149-1756
Diabetic retinopathy eye disease which is harmful, cuases pressure in eye nerve fiber. Therefore it is essential to diagnose it earlier. In this paper we have process on images of retina with the help of Digital Image Processing (DIP) tool. In which images are getting detected and then processed. We distinguish the problem of detecting edges in images as a fuzzy logic problem. The edge detection problem can be separated into three stages: filtering, detection, and tracing. Images separated with the application of fuzzy reasoning based on local pixel characteristics which can control the degree of Gaussian smoothing. Filtered images are then applied to a simple edge detection algorithm which evaluates the edge fuzzy association value for each pixel, based on local image characteristics [1].