A DIRECT-type global optimization algorithm for image registration

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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
Volume79
Issue number2
DOIs
StatePublished - Feb 2021

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Management Science and Operations Research
  • Control and Optimization
  • Applied Mathematics

Keywords

  • Convergence
  • Global optimization
  • Image registration

Fingerprint Dive into the research topics of 'A DIRECT-type global optimization algorithm for image registration'. Together they form a unique fingerprint.

Cite this