摘要
本文研究了基于多小波的多模态医学图像融合。在分析结构成像和功能成像特性的基础上,提出了分层融合的理念。详细阐述了预滤波后,如何使用GHM多小波分解二维医学图像、具体融合规则和多小波重构。与单小波分解相比,多小波要经过分解前的预滤波和重构后的后滤波。实验结果分析证实,该算法融合效果良好,各项指标有一定的提升。
This paper studies the multi-modality medical image fusion based on multiwavelet. On the basis of analyzing the structure imaging and functional imaging characteristics, we proposed the concept of hierarchical fusion. The study elaborated the way of using GHM multiwavelet decomposition of two-dimensional medical image, the specific fusion rules and multiwavelet reconstruction after pre-filtering. Compared with wavelet decomposition, multiwavelet to go through pre and post-filtering. Experiment results confirmed that the fusion algorithm effect is good. All the indexes have certain ascend.
出处
《电子测试》
2013年第8期49-50,55,共3页
Electronic Test
基金
黑龙江省卫生厅项目(2011-232)
关键词
多模态
医学图像融合
预滤波
GHM多小波
multi-modality
medical image fusion
pre-filtering
GHM multiwavelet
