Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images

Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong

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

5 Citations (Scopus)

Abstract

Optic cup is the primary image indicator clinically used for identifying glaucoma. To automatically localize the optic cup in fundus images, an effective and efficient superpixel classification based approach is proposed in this work, which maintains both advantages of existing pixel and window based approaches. This method provides three major contributions. First, it proposes processing of the fundus images at the superpixel level, which leads to more descriptive and effective features than those employed by pixel based approaches, without additional computational cost. Second, a feature normalization method is proposed to reduce the influence of illumination variations across the training and testing images, which greatly elevates superpixel classification accuracy. Third, a refinement scheme that utilizes both retinal structural priors and local context information is adopted to further improve the accuracy. Tested on the ORIGA-light clinical dataset, which comprises of 325 images from a population-based study, the proposed method achieves an accuracy that is comparable to or higher than the state-of-the-art techniques, with a speedup factor of tens or hundreds.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages49-52
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: 11 Nov 201215 Nov 2012

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference21st International Conference on Pattern Recognition, ICPR 2012
Country/TerritoryJapan
CityTsukuba
Period11/11/1215/11/12

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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