The Improvement on the Maximum Mutual Information Image Registration
Authors
Xiaolei Zhao
Corresponding Author
Xiaolei Zhao
Available Online March 2018.
- DOI
- 10.2991/aetr-17.2018.50How to use a DOI?
- Keywords
- Maximum mutual information; Wavelet decomposition; Image registration
- Abstract
This paper studies the theory and algorithm based on the maximum mutual information image registration, And on that basis, the paper comes up with an idea of algorithm improvement to combine the wavelet decomposition with the theory and algorithm. This paper also proves from the theory and practice that the improved algorithm is superior to maximum mutual information image registration. In this paper, we can learn that the effect of the maximum mutual information image registration based on two layers of wavelet transformation is the best of all by comparing the different experimental dates.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaolei Zhao PY - 2018/03 DA - 2018/03 TI - The Improvement on the Maximum Mutual Information Image Registration BT - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017) PB - Atlantis Press SP - 258 EP - 262 SN - 2352-5401 UR - https://doi.org/10.2991/aetr-17.2018.50 DO - 10.2991/aetr-17.2018.50 ID - Zhao2018/03 ER -