A Method in Medical Image Registration Based on Normalized Mutual Information

摘要：

linage registration plays an important role in the research of image processing field. Fast and accurate image registration is the key premise of image fusion. Normalized mutual information is more stable and robust than standard information and its better performance and wider application can be expected. Image registration method in this paper based on normalized mutual information, use improved Powell method to find the optimal solution, in the premise of ensuring accuracy, we proposed several accelerated programs. Using the maximum entropy local image instead of registration image and changing the calculation method have been accepted as a efficient method. Experimental results proved the validity of the method.

关键词： Medical image registration Entropy Mutual information formalized Mutual information Powel

作者: hong Pu mei Xie bei Yan

作者单位: Collage of Electronic Engineering University of Electronic Science and Technology of China Chengdu, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Information and Education Technology(ICIET 2011)(2011年信息和教育技术国际会议)

会议地点: 贵阳

会议语种:英文

页码: 342-346

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）