Skip to content

Fast computation of cross-mutual information function (CMIF) in the frequency domain

License

BSD-2-Clause, BSD-2-Clause licenses found

Licenses found

BSD-2-Clause
LICENSE
BSD-2-Clause
license.txt
Notifications You must be signed in to change notification settings

MIDA-group/CMIF

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

CMIF

Fast computation of cross-mutual information function (CMIF) in the frequency domain


This aims to be a faithful implementation of fast CMIF [1], in brief, well commented and clean MATLAB code. See example in the 'help' text for usage instructions. Code is reasonably fast, if not using too many quantization levels. If you find it useful, please cite [1].

A more optimized python implementation can be found here: https://github.com/MIDA-group/globalign

/ Joakim

References

[1] Johan Öfverstedt, Joakim Lindblad, and Nataša Sladoje. Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. Pattern Recognition Letters, Vol. 159, pp. 196-203, 2022. doi:10.1016/j.patrec.2022.05.022

About

Fast computation of cross-mutual information function (CMIF) in the frequency domain

Resources

License

BSD-2-Clause, BSD-2-Clause licenses found

Licenses found

BSD-2-Clause
LICENSE
BSD-2-Clause
license.txt

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages