Gain registration metric with a minimal example

An implementation of the paper Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations by Danilo Motta, Wallace Casaca, and Afonso Paiva.

In this paper, we presented a metric to define the best transformation to register a given image pair of fundus images.

This code is a simplistic example of the process developed.

Files

• max_gain_transf.m: contains the process that finds the best transformation
• max_gain_transf.m: run this for a quick example

Citation

If you find this useful, please cite our work as follows:

@InProceedings{motta2018fundus,
  title={Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations},
  author={Motta, Danilo and Casaca, Wallace and Paiva, Afonso},
  booktitle={2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)},
  year={2018},
  organization={IEEE}
}

Please contact "ddanilomotta@gmail.com" if you have any questions.