A total variation based nonrigid image registration by combining parametric and non-parametric transformation models
Hu, Wenrui; Xie, Yuan; Li, Lin; Zhang, Wensheng
2014-11-20
发表期刊NEUROCOMPUTING
卷号144页码:222-237
文章类型Article
摘要To overcome the conflict between the global robustness and the local accuracy of dense nonrigid image registration, we propose a union registration approach by combining parametric and non-parametric transformation models. On one hand, to guarantee the robustness, we constrain the displacement field phi using a mapping difference metric between the B-spline parametric space psi and the non-parametric transformation space (Phi. On the other hand, to correct the densely and highly localized geometrical distortions, we introduce a total variation (TV) regularization term for the displacement field phi. Accounting for the effect of spatially varying intensity distortions, the residual complexity (RC) is used as the similarity metric. Moreover, to solve the proposed union nonrigid registration, which is a composite convex optimization problem by the smooth l(2) term and the non-smooth l(2) term (TV), we design a two-stage algorithm using split Bregman iteration. Experiments with both synthetic and real images from different domains illustrate that this approach can capture the local details of transformation accurately and effectively while being robust to the spatially varying intensity distortions. (C) 2014 Elsevier B.V. All rights reserved.
关键词Nonrigid Registration Free-form Deformation Non-parametric Transformation Total Variation Split Bregman Iteration
WOS标题词Science & Technology ; Technology
关键词[WOS]FREE-FORM DEFORMATIONS ; OPTICAL-FLOW ; ALGORITHMS
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000341677800022
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被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8069
专题精密感知与控制研究中心_精密感知与控制
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
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Hu, Wenrui,Xie, Yuan,Li, Lin,et al. A total variation based nonrigid image registration by combining parametric and non-parametric transformation models[J]. NEUROCOMPUTING,2014,144:222-237.
APA Hu, Wenrui,Xie, Yuan,Li, Lin,&Zhang, Wensheng.(2014).A total variation based nonrigid image registration by combining parametric and non-parametric transformation models.NEUROCOMPUTING,144,222-237.
MLA Hu, Wenrui,et al."A total variation based nonrigid image registration by combining parametric and non-parametric transformation models".NEUROCOMPUTING 144(2014):222-237.
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