Welcome to BIRL’s documentation!

Indices and tables

BIRL: Benchmark on Image Registration methods with Landmark validation

The project aims at automatic evaluation of state-of-the-art image registrationmethods 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


  1. 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

  2. Borovec, J. (2019). BIRL: Benchmark on Image Registration methods with Landmark validation.arXiv preprint arXiv:1912.13452.

  3. Borovec, J., Kybic, J., et al. (2020).ANHIR: Automatic Non-rigid Histological Image Registration Challenge.In IEEE Transaction on Medical Imaging (TMI).DOI: 10.1109/TMI.2020.2986331