Optic disc region of interest localization in fundus image for glaucoma detection in ARGALI

Zhuo Zhang, Beng Hai Lee, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Joo Hwee Lim, Fengshou Yin, Weimin Huang, Huiqi Li, Tien Yin Wong

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

40 Citations (Scopus)

Abstract

Glaucoma is the second leading cause of permanent blindness worldwide. Glaucoma can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Correctly determining the optic disc region of interest (ROI) will produce a smaller initial image which takes much lesser time taken to process compared to the entire image. The earlier ROI localization in the ARGALI system used a grid based method. The new algorithm adds a preprocessing step before analyzing the image. This step significantly improves the performance of the ROI detection. A batch of 1564 retinal images from the Singapore Eye Research Centre was used to compare the performance of the two methods. From the results, the earlier and new algorithm detects the ROI correctly for 88% and 96% of the images respectively. The results indicate potential applicability of the method for automated and objective mass screening for early detection of glaucoma.

Original languageEnglish
Title of host publicationProceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010
Pages1686-1689
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 - Taichung, Taiwan, Province of China
Duration: 15 Jun 201017 Jun 2010

Publication series

NameProceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010

Conference

Conference5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010
Country/TerritoryTaiwan, Province of China
CityTaichung
Period15/06/1017/06/10

Keywords

  • Glaucoma
  • Region of interest
  • Retinal fundus image

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Optic disc region of interest localization in fundus image for glaucoma detection in ARGALI'. Together they form a unique fingerprint.

Cite this