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Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images.

Publication ,  Journal Article
Chow, YC; Gao, X; Li, H; Lim, JH; Sun, Y; Wong, TY
Published in: Annu Int Conf IEEE Eng Med Biol Soc
2011

Cataract remains a leading cause for blindness worldwide. Cataract diagnosis via human grading is subjective and time-consuming. Several methods of automatic grading are currently available, but each of them suffers from some drawbacks. In this paper, a new approach for automatic detection based on texture and intensity analysis is proposed to address the problems of existing methods and improve the performance from three aspects, namely ROI detection, lens mask generation and opacity detection. In the detection method, image clipping and texture analysis are applied to overcome the over-detection problem for clear lens images and global thresholding is exploited to solve the under-detection problem for severe cataract images. The proposed method is tested on 725 retro-illumination lens images randomly selected from a database of a community study. Experiments show improved performance compared with the state-of-the-art method.

Duke Scholars

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

2011

Volume

2011

Start / End Page

5044 / 5047

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Ophthalmoscopy
  • Lighting
  • Image Interpretation, Computer-Assisted
  • Humans
  • Cataract
  • Algorithms
 

Citation

APA
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ICMJE
MLA
NLM
Chow, Y. C., Gao, X., Li, H., Lim, J. H., Sun, Y., & Wong, T. Y. (2011). Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images. Annu Int Conf IEEE Eng Med Biol Soc, 2011, 5044–5047. https://doi.org/10.1109/IEMBS.2011.6091249
Chow, Yew Chung, Xinting Gao, Huiqi Li, Joo Hwee Lim, Ying Sun, and Tien Yin Wong. “Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images.Annu Int Conf IEEE Eng Med Biol Soc 2011 (2011): 5044–47. https://doi.org/10.1109/IEMBS.2011.6091249.
Chow YC, Gao X, Li H, Lim JH, Sun Y, Wong TY. Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5044–7.
Chow, Yew Chung, et al. “Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images.Annu Int Conf IEEE Eng Med Biol Soc, vol. 2011, 2011, pp. 5044–47. Pubmed, doi:10.1109/IEMBS.2011.6091249.
Chow YC, Gao X, Li H, Lim JH, Sun Y, Wong TY. Automatic detection of cortical and PSC cataracts using texture and intensity analysis on retro-illumination lens images. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5044–5047.

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

2011

Volume

2011

Start / End Page

5044 / 5047

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Ophthalmoscopy
  • Lighting
  • Image Interpretation, Computer-Assisted
  • Humans
  • Cataract
  • Algorithms