基于多分辨率的医学图像区域融合算法  

Medical Image Region Fusion Algorithm Based on Multi-resolution

作　　者：晏燕华[1] 宋余庆[1] 陈健美[1] 刘哲[1] 朱峰[1] 

机构地区：[1]江苏大学计算机科学与通信工程学院,江苏镇江212013

出　　处：《计算机工程》2012年第5期216-217,220,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60841003);江苏省软件与集成电路产业专项基金资助项目(2009[100]);江苏省博士创新基金资助项目(CX10B_274Z)

摘　　要：提出一种基于多分辨率的医学图像区域融合算法。对源图像进行多分辨率分解,考虑邻域系数的影响,基于局部绝对值选大的融合规则,进行高频带的融合。采用模糊C均值算法对熵值大的低频带进行区域分割,将区域映射到其他低频带中,利用EM融合算法融合各个区域。对融合系数进行重构,得到融合图像。实验结果表明,该算法的融合质量较优且效率较高。This paper proposes a medical image region fusion algorithm based on multi-resolution.The source images are decomposed into multi-resolution representations.Considering the influences of the neighborhood coefficients,a local maximum selection rule is proposed to fuse the high frequency bands.The Fuzzy C-means（FCM） algorithm is used to segment the low frequency band with largest entropy into regions which are mapped to the other low frequency bands,then the regions are fused using the EM fusion algorithm.The fused image is obtained by reconstructing the coefficients.Experimental results show that the proposed algorithm has good fusion quality and high efficiency.

关 键 词：EM融合算法 多分辨率 模糊C均值 区域映射 邻域系数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]