An Automatic Optic Disk Detection and Segmentation System using Multi-level Thresholding


Karasulu B.

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, vol.14, no.2, pp.161-172, 2014 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 14 Issue: 2
  • Publication Date: 2014
  • Doi Number: 10.4316/aece.2014.02025
  • Journal Name: ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.161-172

Abstract

Optic disk (OD) boundary localization is a substantial problem in ophthalmic image processing research area. In order to segment the region of OD, we developed an automatic system which involves a multi-level thresholding. The OD segmentation results of the system in terms of average precision, recall and accuracy for DRIVE database are 98.88%, 99.91%, 98.83%, for STARE database are 98.62%, 97.38%, 96.11%, and for DIARETDB1 database are 99.29%, 99.90%, 99.20%, respectively. The experimental results show that our system works properly on retinal image databases with diseased retinas, diabetic signs, and a large degree of quality variability.