Detection and Counting of Microaneurysms Using Digital Image Processing Techniques

Authors

  • Sonali S. Gaikwad Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad
  • Ramesh R. Manza Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad

Keywords:

Microaneurysms, Diabetic Retinopathy, DIARECT DB 0, DIARECT DB1, Threshold

Abstract

In this research article, we proposedannew algorithm for the detection and counting of microaneurysms
from retinal images. Two fundus image database were used. DIARECT DB0 and DIARECT DB1, total 219 fundus
images. For detection and counting of microaneurysms we were used digital image processing techniques, such as green
channel separation, image complement function, histogram and histogram equalization functions etc. This algorithm is
achieved 92.69% accuracy. Means 203 images are correctly identified whereas 16 images were wrongly classified.

Downloads

Published

2017-11-25

Issue

Vol. 4 No. 11 (2017): Volume 4 Issue 11 NOVEMBER 2017

Section

Articles

How to Cite

Detection and Counting of Microaneurysms Using Digital Image Processing Techniques . (2017). International Journal of Advance Engineering and Research Development (IJAERD), 4(11), 86-90. https://ijaerd.org/index.php/IJAERD/article/view/4000

Similar Articles

1-10 of 235

You may also start an advanced similarity search for this article.