A TV-l1 based nonrigid image registration by coupling parametric and non-parametric transformation

doi:10.1007/s11633-014-0874-6

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	A TV-l1 based nonrigid image registration by coupling parametric and non-parametric transformation
	Wenrui Hu; Yuan Xie; Lin Li; Wensheng Zhang
发表期刊	International Journal of Automation and Computing
	2015
卷号	12 期号:5 页码:467 - 481
摘要	To overcome the conflict between the global robustness and the local accuracy in the dense nonrigid image registration, we propose a union registration approach using a l1-norm based term to couple the parametric transformation and the non-parametric transformation. On one hand, we take the parametric deformation field as a constraint for the non-parametric registration, which is a strong constraint that guarantees the robustness of the non-parametric registration result. On the other hand, the non-parametric deformation field is taken as a force to improve the accuracy of the parametric registration. Then, an alternating optimization scheme is carried out to improve the accuracy of both the parametric registration and the non-parametric registration. Moreover, accounting for the effect of spatially-varying intensity distortions and the sparse gradient prior of the deformation field, we adopt the residual complexity (RC) as the similarity metric and the total variation (TV) as the regularization. Because of the TV-l1-l2 composite property of the objective function in our union image registration, we resort to the split Bregman iteration for the complex problem solving. Experiments with both synthetic and real images in different domains illustrate that this approach outperforms the separately performed parametric registration or non-parametric registration.
关键词	Nonrigid Registration Free-form Deformation Non-parametric Transformation Total Variation Residual Complexity
DOI	10.1007/s11633-014-0874-6
引用统计	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/173211/12259
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	Wensheng Zhang
推荐引用方式 GB/T 7714	Wenrui Hu,Yuan Xie,Lin Li,et al. A TV-l1 based nonrigid image registration by coupling parametric and non-parametric transformation[J]. International Journal of Automation and Computing,2015,12(5):467 - 481.
APA	Wenrui Hu,Yuan Xie,Lin Li,&Wensheng Zhang.(2015).A TV-l1 based nonrigid image registration by coupling parametric and non-parametric transformation.International Journal of Automation and Computing,12(5),467 - 481.
MLA	Wenrui Hu,et al."A TV-l1 based nonrigid image registration by coupling parametric and non-parametric transformation".International Journal of Automation and Computing 12.5(2015):467 - 481.

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