Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6115746 | ICIP |
Keywords | Field | DocType |
clinical database,retro illumination lens images,enhanced texture features,computer-aided cataract detection,lighting,computer aided grading,texture analysis,mass screening,computer aided cataract detection,feature extraction,blindness,image texture,patient diagnosis,medical image processing,accuracy,databases,lenses,entropy | Computer vision,Pattern recognition,Computer science,Image texture,Computer-aided,Feature extraction,Preprocessor,Lens (optics),Artificial intelligence,Linear discriminant analysis,Blindness | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4577-1302-6 | 978-1-4577-1302-6 | 4 |
PageRank | References | Authors |
0.55 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinting Gao | 1 | 119 | 10.60 |
| Huiqi Li | 2 | 432 | 49.26 |
| Joo-Hwee Lim | 3 | 783 | 82.45 |
| Tien Yin Wong | 4 | 389 | 38.10 |