A novel high-Order functional based image registration model with inequality constraint



Zhang, Jin, Chen, Ke ORCID: 0000-0002-6093-6623 and Yu, Bo
(2016) A novel high-Order functional based image registration model with inequality constraint. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 72 (12). pp. 2887-2899.

[thumbnail of LLT-constraint-V2-f.pdf] Text
LLT-constraint-V2-f.pdf - Author Accepted Manuscript

Download (1MB)

Abstract

In this paper, a novel variational image registration model using a second-order functional as regularizer is presented. The main motivation for the new model stems from the LLT model (see Lysaker, 2003). In order to avoid mesh folding, inequality constraint on the determinant of the Jacobian matrix J of the transformation is also proposed. Furthermore, a fast solver is provided for numerical implementation of registration model with inequality constraints. Numerical experiments are illustrated to show the good performance of our new model according to the registration quality.

Item Type: Article
Uncontrolled Keywords: Image registration, Regularization, Multilevel, Second-order functional
Depositing User: Symplectic Admin
Date Deposited: 24 Oct 2016 08:51
Last Modified: 19 Jan 2023 07:27
DOI: 10.1016/j.camwa.2016.10.018
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3003950