Incorporating spatial information into entropy estimates to improve multimodal image registration

@article{Cahill2006IncorporatingSI,
  title={Incorporating spatial information into entropy estimates to improve multimodal image registration},
  author={Nathan D. Cahill and Cranos M. Williams and Shoupu Chen and Lawrence A. Ray and Marvin M. Goodgame},
  journal={3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006.},
  year={2006},
  pages={832-835}
}
We propose an approach to incorporate spatial information into the estimate of the entropy of an image by partitioning a high-dimensional space into regions over which a one-dimensional histogram can be indexed. This approach obviates the need for the construction of high-dimensional histograms and makes no assumptions on the form of the high-dimensional probability mass function. We use this partitioned estimate of entropy to compute image similarity measures, useful in image registration, and… CONTINUE READING