A DIRECT-type global optimization algorithm for image registration

Cuicui Zheng (), James Calvin () and Craig Gotsman ()
Additional contact information
Cuicui Zheng: New Jersey Institute of Technology
James Calvin: New Jersey Institute of Technology
Craig Gotsman: New Jersey Institute of Technology

Journal of Global Optimization, 2021, vol. 79, issue 2, No 9, 445 pages

Abstract: 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.

Keywords: Global optimization; Convergence; Image registration (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10898-020-00914-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jglopt:v:79:y:2021:i:2:d:10.1007_s10898-020-00914-y

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10898

DOI: 10.1007/s10898-020-00914-y

Access Statistics for this article

Journal of Global Optimization is currently edited by Sergiy Butenko

More articles in Journal of Global Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().