21 March 2014 Registration of segmented histological images using thin plate splines and belief propagation
Author Affiliations +
Abstract
We register images based on their multiclass segmentations, for cases when correspondence of local features cannot be established. A discrete mutual information is used as a similarity criterion. It is evaluated at a sparse set of location on the interfaces between classes. A thin-plate spline regularization is approximated by pairwise interactions. The problem is cast into a discrete setting and solved efficiently by belief propagation. Further speedup and robustness is provided by a multiresolution framework. Preliminary experiments suggest that our method can provide similar registration quality to standard methods at a fraction of the computational cost.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Kybic, Jan Kybic, } "Registration of segmented histological images using thin plate splines and belief propagation", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90343E (21 March 2014); doi: 10.1117/12.2042317; https://doi.org/10.1117/12.2042317
PROCEEDINGS
7 PAGES


SHARE
Back to Top