Medical Image Fusion Based on Wavelet Multi-Scale Decomposition

• 作者: Bin Wu Huiping Zhu Peng Ren
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: WAVELET TRANSFORM IMAGE FUSION REGIONAL Variance Improvement FUSION RULE
• 年，卷（期）: 2013,（2）
• 页码范围: 218-221
• 页数: 4页
• 分类号: TP39

摘要

This paper describes a method to decompose multi-scale information from different source medical image using wavelet transformation. The data fusion between CT image and MRI image is implemented based on the coefficients fusion rule which included choice of regional variance and weighted average wavelet information. The result indicates that this method is better than WMF, LEF and RVF on fusion results, details and target distortion.