CHASE_DB1 Retinal Image Datbase

This package is part of the signal-processing and machine learning toolbox Bob. It provides an interface for the CHASE_DB1 Dataset. This package does not contain the original data files, which need to be obtained through the link above.

The dataset contains 28 eye fundus images with a resolution of 1280 x 960. Two sets of ground-truth vessel annotations are available. The first set is commonly used for training and testing. The second set acts as a “human” baseline.

If you use this package, please cite the authors of the database:

@ARTICLE{6224174,
    author={M. M. {Fraz} and P. {Remagnino} and A. {Hoppe} and B. {Uyyanonvara} and A. R. {Rudnicka} and C. G. {Owen} and S. A. {Barman}},
    journal={IEEE Transactions on Biomedical Engineering},
    title={An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation},
    year={2012},
    volume={59},
    number={9},
    pages={2538-2548},
    doi={10.1109/TBME.2012.2205687},
    ISSN={0018-9294},
    month={Sep.}
}