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Paper Details

Paper Title
Detection and Counting of Microaneurysms Using Digital Image Processing Techniques
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.
Microaneurysms, Diabetic Retinopathy, DIARECT DB 0, DIARECT DB1, Threshold.
Others Details
Paper Id : 40318
Author Name : Sonali Gaikwad
Co-Author Name(s) : Ramesh R. Manza
Volume/Issue No : Volume 04 Issue 11
Page No : 86-90
DOI Number : DOI:10.21090/IJAERD.40318
Publication Date : 2017-11-09
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website :
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406