A DIRECT-type global optimization algorithm for image registration

Document Type

Article

Publication Date

2-1-2021

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.

Identifier

85085925955 (Scopus)

Publication Title

Journal of Global Optimization

External Full Text Location

https://doi.org/10.1007/s10898-020-00914-y

e-ISSN

15732916

ISSN

09255001

First Page

431

Last Page

445

Issue

2

Volume

79

Grant

CMMI-1562466

Fund Ref

National Science Foundation

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