Approach of Medicial Image Fusion Based on Multiwavelet Transform

摘要：

The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on multiwavelet transform to fuse multimedical images is presented. The detailed discussions are focused on the two-wavelet and two-scaling function multiwavelets. In the fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. Experiment of fusing medical CTMRI images is presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.

关键词： Image fusion Medical images Multiwavelet transform Feature selection Mutual information

作者: Zhao Tongzhou Wang Yanli Wang Haihui Song Hongxian Gao Shen

作者单位: School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, 430073, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3411-3416

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）