Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system.

Published

Journal Article

In this paper, we present a new method to detect pterygiums using cornea images. Due to the similarity of appearances and spatial locations between pterygiums and cortical cataracts, pterygiums are often falsely detected as cortical cataracts on retroillumination images by a computer-aided grading system. The proposed method can be used to filter out the pterygium which improves the accuracy of cortical cataract grading system. This work has three major contributions. First, we propose a new pupil segmentation method for visible wavelength images. Second, an automatic detection method of pterygiums is proposed. Third, we develop an enhanced compute-aided cortical cataract grading system that excludes pterygiums. The proposed method is tested using clinical data and the experimental results demonstrate that the proposed method can improve the existing automatic cortical cataract grading system.

Full Text

Duke Authors

Cited Authors

  • Gao, X; Wong, DWK; Aryaputera, AW; Sun, Y; Cheng, C-Y; Cheung, C; Wong, TY

Published Date

  • 2012

Published In

Volume / Issue

  • 2012 /

Start / End Page

  • 4434 - 4437

PubMed ID

  • 23366911

Pubmed Central ID

  • 23366911

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/EMBC.2012.6346950

Language

  • eng

Conference Location

  • United States