Method of detecting kink-bearing vessels in a retinal fundus image

Damon W.K. Wong, Jiang Liu, Joo Hwee Lim, Ngan Meng Tan, Zhuo Zhang, Huiqi Li, Shijian Lu, Tien Yin Wong

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

Abstract

Glaucoma is the second leading cause of blindness worldwide. The risk of glaucoma can be determined by calculating the cup to disc ratio in retinal fundus images. To accurately detect the optic cup, kinks or bends in small and medium vessels are important indicators of the cup boundary. In this paper, we present a method of detecting such vessels, through the extraction of patches and generation of hybrid features in a SVM-based model. The segmentation results show good potential for the further development of this method.

Original languageEnglish
Title of host publicationProceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010
Pages1690-1694
Number of pages5
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

  • Computer aided detection
  • Glaucoma
  • Optic cup
  • SVM
  • Vessels

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Method of detecting kink-bearing vessels in a retinal fundus image'. Together they form a unique fingerprint.

Cite this