自动化学报2016，Vol.42Issue(9)：1389-1400,12.DOI:10.16383/j.aas.2016.c150186
基于平衡系数的Active Demons非刚性配准算法
Active Demons Non-rigid Registration Algorithm Based on Balance Coefficient
摘要
Abstract
Classic active demons algorithm uses gradient information of the static image and the moving image as driving forces, and uses a homogeneous coefficient to adjust their intensities. Although the algorithm overcomes the disadvantage of the demons algorithm using the gradient information of a single static image, the homogeneous coefficient of the active demons algorithm can not accurately handle registration with both large deformation and small deformation, and will cause the mutual restraint problem of convergence speed and registration accuracy. In order to solve this problem, this paper presents a non-rigid registration algorithm based on active demons algorithm, which introduces a new parameter called balance coefficient to the active demons algorithm to adjust the driving force in combination with the homogeneous coefficient. Not only can the large deformation and small deformation be taken into account at the same time, but also the mutual restraint problem of speed and accuracy can be eased to a certain extent. In order to further improve registration accuracy and convergence speed and avoid falling into local extremes, 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 algorithm is faster and more accurate. The registration accuracy is improved by 54.28%on average, and is close to that of the latest TV-L1 optical flow image registration algorithm.关键词
非刚性配准/Active demons算法/光流场图像配准/驱动力/多分辨率策略Key words
Non-rigid image registration/active demons algorithm/optical flow image registration/driving force/multi-resolution strategy引用本文复制引用
薛鹏,杨佩,曹祝楼,贾大宇,董恩清..基于平衡系数的Active Demons非刚性配准算法[J].自动化学报,2016,42(9):1389-1400,12.基金项目
国家自然科学基金(81371635),高等学校博士学科点专项科研基金(20120131110062),山东省科技发展计划项目(2013GGX10104)Supported by National Natural Science Foundation of China (81371635), Specialized Research Fund for the Doctoral Pro-gram of Higher Education of China (20120131110062), Science and Technology Development Project of Shandong Province (2013GGX10104) （81371635）
