Mixture model-based approach for optic cup segmentation

N. M. Tan, J. Liu, D. W.K. Wong, F. Yin, J. H. Lim, T. Y. Wong

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

19 Citations (Scopus)

Abstract

Glaucoma is a leading cause of blindness with permanent damage to optic nerve head. ARGALI is an automated computer-aided diagnosis system designed for glaucoma detection via optic cup-to-disc ratio assessment. It employs several methods to determine the optic cup and disc from retinal images. Optic disc detection and segmentation works have been widely reported with high success rate. However, the task of segmenting the optic cup in a non-stereo fundus photograph is more difficult due to the presence of retinal vessels and the inconsistent intensities of the optic cup. In this paper we propose an approach for optic cup segmentation based on Gaussian mixture models. The algorithm is tested on 71 images from the SiMES database. The optic cup boundaries in these images are manually segmented by a senior ophthalmologist as our clinical ground truth. In our experiments, we show that our approach is able to achieve an improvement of 8.1% in cup area overlap and 14.1% in relative area difference from the ARGALI cup segmentation. This demonstrates the capability of this model of have a closer segmentation to the clinical ground truth.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages4817-4820
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: 31 Aug 20104 Sep 2010

Publication series

Name2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/TerritoryArgentina
CityBuenos Aires
Period31/08/104/09/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics

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