Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging

作者：

Highlights：

• Feature Neighbourhood Mutual Information proposed for multimodal image registration.

• We perform a comparative study against existing techniques to assess accuracy.

• We also perform a convergence study to assess impact of search optimisation.

• FNMI achieves best performance, which we demonstrate for a retinal image data set.

摘要

Highlights•Feature Neighbourhood Mutual Information proposed for multimodal image registration.•We perform a comparative study against existing techniques to assess accuracy.•We also perform a convergence study to assess impact of search optimisation.•FNMI achieves best performance, which we demonstrate for a retinal image data set.

论文关键词：Mutual information,Feature derivatives,Gauge co-ordinates,Non-rigid registration,Ophthalmology

论文评审过程：Received 10 May 2013, Revised 2 December 2014, Accepted 17 December 2014, Available online 24 December 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.12.014