Multi-scale superpixel classification for optic cup localization

Ngan Meng Tan, Yanwu Xu, Jiang Liu, Wooi Boon Goh, Fengshou Yin, Tien Yin Wong

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

Abstract

In this paper, we present a multi-scale approach based on superpixel classification for optic cup localization. Our approach provides 3 major contributions. First, a contrast enhancement scheme is proposed to reduce illumination influence and enhance feature discrimination. Second, features are extracted from multiple superpixels scales for richer description of the optic cup. Third, a unique cup is localized by integrating the multi-scales together using majority voting. Our approach was validated on a clinical online dataset, ORIGA-light, of 650 population-based images. Overall, our approach is able to achieve a 0.248 non-overlap ratio (m1) and a 0.085 absolute CDR error (δ). Experimental results also shows that our multi-scale approach has a complementary effect to increase performance stability, and is able to achieve a higher accuracy when compared with the previous state-of-the-art superpixel-based method.

Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-140
Number of pages4
ISBN (Electronic)9781467319591
DOIs
Publication statusPublished - 29 Jul 2014
Externally publishedYes
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: 29 Apr 20142 May 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conference

Conference2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/TerritoryChina
CityBeijing
Period29/04/142/05/14

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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