机构

• 长春光学精密机械与物... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2020 [1]
• 2011 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 83-95 作者:  Qi-Chun Zhang;  Liang Hu;  John Gow   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/02/22 Multi-input-multi-output (MIMO) stochastic systems  output feedback stabilisation  block backstepping  randomness attenuation  probabilistic decoupling  mutual information.   A parallel algorithm for medical images registration based on B-splines (EI CONFERENCE) 会议论文  OAI收割 4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China 作者:  Zhang T. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 Cubic B-splines is widely applied in non-rigid registration because of its approximation performance and fast computational characteristics. However  a small scale non-rigid deformation is needed to characterize by a large number of control points. Moreover  an iterative optimization strategy of the non-rigid registration algorithm and the normalized mutual information (NMI) cost a great quantity calculation. So  the process of the non-rigid registration is slowed by calculations of NMI in a iterative optimization strategy. In this paper  a parallel optimization algorithm based on cubic B-splines functions is proposed to parallelize the optimization algorithm of the nonrigid registration and the calculations of normalize mutual information. In practice  a fast algorithm of cubic B-splines is used and the control points are only distributed on the targets. Experiments show that the use of the fast algorithm and the parallel optimization strategy improves the non-rigid registration process of medical images. 2011 IEEE.