A DIRECT-type global optimization algorithm for image registration

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4 Scopus citations


Image registration is an important component of many image processing problems which often require optimizing over some set of parameters. In the image registration problem, one attempts to determine the best transformation for aligning similar images. Such problems typically require minimizing a dissimilarity measure with multiple local minima. We describe a global optimization algorithm and apply it to the problem of identifying the best transformation for aligning two images.

Original languageEnglish (US)
Pages (from-to)431-445
Number of pages15
JournalJournal of Global Optimization
Issue number2
StatePublished - Feb 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Applied Mathematics
  • Business, Management and Accounting (miscellaneous)
  • Computer Science Applications
  • Management Science and Operations Research


  • Convergence
  • Global optimization
  • Image registration


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