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


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