Group-wise registration of large image dataset by hierarchical clustering and alignment (Proceedings Paper)

Group-wise registration has been proposed recently for consistent registration of all images in the same dataset. Since all images need to be registered simultaneously with lots of deformation parameters to be optimized, the number of images that the current group-wise registration methods can handle is limited due to the capability of CPU and physical memory in a general computer. To overcome this limitation, we present a hierarchical group-wise registration method for feasible registration of large im

DOI: 10.1117/12.811384
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