21 March 2014 Registration of segmented histological images using thin plate splines and belief propagation
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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.
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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
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