标题:Effective Non-rigid Image Registration Method Based on Active Demons Algorithm
作者:Tang, Zhenchao; Xue, Peng; Yang, Pei; Jia, Dayu; Dong, Enqing
通讯作者:Dong, EQ
作者机构:[Tang, Zhenchao; Xue, Peng; Yang, Pei; Jia, Dayu; Dong, Enqing] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai, Peoples R China.
会议名称:29th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
会议日期:JUN 20-23, 2016
来源:2016 IEEE 29TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
出版年:2016
页码:124-129
DOI:10.1109/CBMS.2016.18
关键词:non-rigid image registration; Active Demons algorithm; Demons algorithm;; Optical flow image registration
摘要:In order to solve the problem the homogeneous coefficient of the classic active demons algorithm can not take into account large deformation and small deformation at the same time, this paper presents a non-rigid registration algorithm based on active demons algorithm. The proposed algorithm introduces a new parameter called balance coefficient to the active demons algorithm, which will adjust the driving force combined with homogeneous coefficient. Not only the large deformation and the small deformation can be taken into account at the same time, but also the mutual restraint problem of the convergence speed and the registration accuracy can be eased in a certain extent. In order to further improve the registration accuracy and the convergence speed, and avoid falling into local extreme value, a coarse-to-fine multi-resolution strategy is introduced into the registration process. Experiments on checkboard test images, natural images and medical images demonstrate that the proposed method is faster and more accurate, and the registration accuracy is close to the latest TV-L1 optical flow image registration algorithm, which solves the problems of the active demons algorithm.
收录类别:CPCI-S
WOS核心被引频次:2
资源类型:会议论文
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