Applying stochastic second-order entropy images to multi-modal image registration

作者：

Highlights：

•

• We proposed a second order entropy descriptor in the multi-modal image registration.

• By stochastic sample radio, our method runs faster than the original entropy image methods.

• We tested our methods on both synthesis data and medical image data. The experiment results show the benefits of our methods.

摘要

•We proposed a second order entropy descriptor in the multi-modal image registration.•By stochastic sample radio, our method runs faster than the original entropy image methods.•We tested our methods on both synthesis data and medical image data. The experiment results show the benefits of our methods.

论文关键词：Multi-modal image registration,Image-processing,Image matching,Entropy image,Structural representation,Second order entropy

论文评审过程：Received 8 June 2017, Revised 29 March 2018, Accepted 29 March 2018, Available online 12 April 2018, Version of Record 16 April 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.03.021