An improved numerical method for variational image registration model with intensity correction
Journal article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Maleelai K., Watchararuangwit C., Chumchob N.
Publisher: Taylor and Francis Group
Publication year: 2021
Journal: Journal of Interdisciplinary Mathematics (0972-0502)
Volume number: 25
Issue number: 4
Start page: 1
End page: 18
Number of pages: 18
ISSN: 0972-0502
eISSN: 2169-012X
Languages: English-Great Britain (EN-GB)
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Abstract
In this paper, we propose an efficient numerical method for registration and intensity correction of images. We first introduced a variational image registration model in our previous work. The variational minimization of the functional in the model is solved by using an alternating minimization method. In this work, we improve the numerical solution of the minimization problem by applying the Split Bregman method together with the alternating minimization method. As expected, our numerical experiments show that the proposed method converges rapidly and is significantly more accurate than the method used in our previous work. © 2021 Taru Publications.
Keywords
65K10, 65M06, 75G65, Alternating minimization methods, Diffusive and total variation regularizers, Intensity correction, Split Bregman, Variational image registration