Registration of microtomography images: challenges and approaches
Christine A. Tanner, Bert Müller, Griffin Rodgers · 2022
The quantification of appearance and geometrical changes between structures captured across several images relies on the determination of correspondences between these image structures. Automatic methods for establishing sparse and dense spatial correspondences are feature tracking and image registration, respectively. Main registration challenges are weak image features, complex appearance change, large shape changes, and huge images. These challenges can make the problem intractable. We present approaches to overcome these challenges for registration tasks including microtomography images. Applications include assessing tissue changes due to embedding material, comparison of microtomography with optical microscopy images, and optimization of process parameters for materials.