Global optimization for image registration
Document Type
Conference Proceeding
Publication Date
2-12-2019
Abstract
Image processing tasks 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
85061922328 (Scopus)
ISBN
[9780735417984]
Publication Title
Aip Conference Proceedings
External Full Text Location
https://doi.org/10.1063/1.5089975
e-ISSN
15517616
ISSN
0094243X
Volume
2070
Grant
1562466
Fund Ref
National Science Foundation
Recommended Citation
Calvin, James M.; Gotsman, Craig J.; and Zheng, Cuicui, "Global optimization for image registration" (2019). Faculty Publications. 7787.
https://digitalcommons.njit.edu/fac_pubs/7787
