Improved optimization methods for image registration problems

Chen, Ke ORCID: 0000-0002-6093-6623, Grapiglia, Geovani Nunes, Yuan, Jinyun and Zhang, Daoping (2019) Improved optimization methods for image registration problems. NUMERICAL ALGORITHMS, 80 (2). pp. 305-336. ISSN 1017-1398, 1572-9265

Text NUMA_final__R1.pdf - Author Accepted Manuscript Download (10MB)

Abstract

In this paper, we propose new multilevel optimization methods for minimizing continuously differentiable functions obtained by discretizing models for image registration problems. These multilevel schemes rely on a novel two-step Gauss-Newton method, in which a second step is computed within each iteration by minimizing a quadratic approximation of the objective function over a certain two-dimensional subspace. Numerical results on image registration problems show that the proposed methods can outperform the standard multilevel Gauss-Newton method.

Item Type:	Article
Uncontrolled Keywords:	Image registration, Multilevel strategy, Gauss-Newton method, Subspace methods
Depositing User:	Symplectic Admin
Date Deposited:	11 Apr 2018 10:34
Last Modified:	06 Dec 2024 23:34
DOI:	10.1007/s11075-018-0486-2
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3018792