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

被引:13
|
作者
Zhang, Jin [1 ]
Chen, Ke [2 ,3 ]
Yu, Bo [1 ]
机构
[1] Dalian Univ Technol, Sch Math Sci, Liaoning 116024, Peoples R China
[2] Univ Liverpool, Ctr Math Imaging Tech, Liverpool L69 3BX, Merseyside, England
[3] Univ Liverpool, Dept Math Sci, Liverpool L69 3BX, Merseyside, England
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Image registration; Regularization; Multilevel; Second-order functional; MUTUAL-INFORMATION; OPTIMIZATION;
D O I
10.1016/j.camwa.2016.10.018
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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) 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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2887 / 2899
页数:13
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