Detection and Counting of Microaneurysms Using Digital Image Processing Techniques
| Author(s) | : | Sonali S. Gaikwad, Ramesh R. Manza |
| Institution | : | Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 86-90 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In this research article, we proposedannew algorithm for the detection and counting of microaneurysmsfrom retinal images. Two fundus image database were used. DIARECT DB0 and DIARECT DB1, total 219 fundusimages. For detection and counting of microaneurysms we were used digital image processing techniques, such as greenchannel separation, image complement function, histogram and histogram equalization functions etc. This algorithm isachieved 92.69% accuracy. Means 203 images are correctly identified whereas 16 images were wrongly classified.
Sonali S. Gaikwad, Ramesh R. Manza, “Detection and Counting of Microaneurysms Using Digital Image Processing Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 86-90, November 2017.
