@inproceedings{0f0f8af3af344dfa9055f738242a115e,
title = "Computer-aided cataract detection using enhanced texture features on retro-illumination lens images",
abstract = "Cataract is a leading cause of blindness worldwide. Computer-aided cataract detection is two-fold significant. Firstly, it will be helpful in mass screening. Secondly, it can be used as the preprocessing step for computer-aided grading. In this paper, the enhanced texture feature is proposed based on the graders' expertise of cataract and the characteristics of the retro-illumination lens images. The statistics of the enhanced texture feature is used to train the linear discriminant analysis to detect the cataract. The accuracy of 84.8% is achieved on a clinical database that contains 4545 pairs of images. It demonstrates that the proposed method is promising for mass screening and as the preprocessing step for computer-aided grading.",
keywords = "computer-aided cataract detection, feature extraction, texture analysis",
author = "Xinting Gao and Huiqi Li and Lim, {Joo Hwee} and Wong, {Tien Yin}",
year = "2011",
doi = "10.1109/ICIP.2011.6115746",
language = "English",
isbn = "9781457713033",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1565--1568",
booktitle = "ICIP 2011",
note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",
}