Automatic Detection of Left and Right Eye in Retinal Fundus Images

Retinal fundus images are commonly used by ophthalmologists to diagnose and monitor the development of eye diseases. One of the key information in the fundus images is to distinguish between the left and right eye. This work is motivated to provide an accurate and automated method to detect the left and right eye based on the retinal images.

[1]  J. Liu,et al.  Level-set based automatic cup-to-disc ratio determination using retinal fundus images in ARGALI , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Shinichi Tamura,et al.  Zero-crossing interval correction in tracing eye-fundus blood vessels , 1988, Pattern Recognit..

[3]  C. Sinthanayothin,et al.  Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images , 1999, The British journal of ophthalmology.

[4]  Huiqi Li,et al.  Automated feature extraction in color retinal images by a model based approach , 2004, IEEE Transactions on Biomedical Engineering.