A variational approach to non-rigid image registration with Bregman divergences and multiple features
作者：
Highlights：
• We propose to use Bregman divergences as similarity functions of the variational functional in image registration.
• Our formulation is a meta-algorithm that can be applied using any Bregman divergence associated to different features.
• Our new similarity measure generalizes the variational method, which of multiple image can combine image characteristics.
• Bregman divergences allows us to combine both local spatial and statistical information into the similarity measure.
摘要
•We propose to use Bregman divergences as similarity functions of the variational functional in image registration.•Our formulation is a meta-algorithm that can be applied using any Bregman divergence associated to different features.•Our new similarity measure generalizes the variational method, which of multiple image can combine image characteristics.•Bregman divergences allows us to combine both local spatial and statistical information into the similarity measure.
论文关键词：Image registration,Bregman divergence,Euler–Lagrange equations
论文评审过程：Received 30 December 2016, Revised 22 November 2017, Accepted 17 December 2017, Available online 20 December 2017, Version of Record 11 January 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.12.015
