Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration

作者：

Highlights：

• A partial information registration (PIR) method is proposed to speed up registration and to improve registration accuracy by adopting partial information on the spatial and phased scales, respectively.

• A multi-factor multi-layer particle swarm optimization (MFML-PSO) algorithm is designed to improve the optimization performance of particle swarm optimization in multimodal problems.

• An image processing framework is established to rapidly construct four-dimensional highquality microstructural images for cement hydration.

• Fast bias field correction and temporal intensity calibration are implemented to enhance the quality of microtomography temporal image sequences for cement hydration.

• Experimental results indicate that the four-dimensional high quality microstructural image can be constructed rapidly for cement hydration with promising precision.

摘要

•A partial information registration (PIR) method is proposed to speed up registration and to improve registration accuracy by adopting partial information on the spatial and phased scales, respectively.•A multi-factor multi-layer particle swarm optimization (MFML-PSO) algorithm is designed to improve the optimization performance of particle swarm optimization in multimodal problems.•An image processing framework is established to rapidly construct four-dimensional highquality microstructural images for cement hydration.•Fast bias field correction and temporal intensity calibration are implemented to enhance the quality of microtomography temporal image sequences for cement hydration.•Experimental results indicate that the four-dimensional high quality microstructural image can be constructed rapidly for cement hydration with promising precision.

论文关键词：Cement hydration,Rapid image construction,Image registration,Particle swarm optimization,Microstructural temporal image sequences

论文评审过程：Received 30 June 2020, Revised 3 September 2021, Accepted 27 November 2021, Available online 1 December 2021, Version of Record 11 December 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108471