Initial release

BIRL: Benchmark on Image Registration methods with Landmark validation

The project aims at automatic evaluation of state-of-the-art image registration methods based on landmark annotation for given image dataset. In particular, this project is the main evaluation framework for ANHIR challenge.

Main Features:

• automatic execution of image registration on a sequence of image pairs
• integrated evaluation of registration performances
• integrated visualization of performed registration
• running several image registration experiment in parallel
• resuming unfinished sequence of registration benchmark
• handling around dataset and creating own experiments
• rerun evaluation and visualisation for finished experiments

Borovec, J., Munoz-Barrutia, A., & Kybic, J. (2018). Benchmarking of image registration methods for differently stained histological slides. In IEEE International Conference on Image Processing (ICIP) (pp. 3368–3372), Athens. DOI: 10.1109/ICIP.2018.8451040