Gradient based nonuniform subsampling for information-theoretic alignment methods

Mert R. Sabuncu, Peter J. Ramadge

Research output: Contribution to journalConference article

17 Scopus citations

Abstract

We examine the computation of information-theoretic image registration metrics and propose two (deterministic and stochastic) nonuniform subsampling methods for improving the efficiency. The proposed schemes attempt to use only the most relevant information as the basis of the computation. Both methods are shown to yield considerable improvement over the current practice of uniform subsampling. Theoretical and experimental evidence is provided.

Original languageEnglish (US)
Pages (from-to)1683-1686
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 III
StatePublished - Dec 1 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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