论文:2022,Vol:40,Issue(6):1414-1421
引用本文:
王峰, 程咏梅. 基于JBF与MLNE的图像融合方法[J]. 西北工业大学学报
WANG Feng, CHENG Yongmei. Image fusion method based on JBF and multi-order local region energy[J]. Journal of Northwestern Polytechnical University

基于JBF与MLNE的图像融合方法
王峰1, 程咏梅2
1. 渭南师范学院 物理与电气工程学院, 陕西 渭南 714099;
2. 西北工业大学 自动化学院, 陕西 西安 710072
摘要:
针对多模态医学图像融合方法融合质量差、计算效率低等问题。提出了一种基于联合双边滤波(JBF)与多阶局部区域能量(MLNE)的图像融合方法。该方法将输入图像分解成能量层和结构层,对于能量层与结构层的融合分别提出了基于MLNE和局部区域L2范数取大值的融合方案,融合能量层和结构层相加获得融合图像。1组不同模态的医学图像融合实验结果证明,文中提出的方法在融合性能、计算效率、视觉评价等方面都优于其他的对比方法。
关键词:    联合双边滤波    多阶局部区域能量    医学图像融合    L2范数   
Image fusion method based on JBF and multi-order local region energy
WANG Feng1, CHENG Yongmei2
1. School of Physics and Electrical Engineering, Weinan Normal University, Weinan 714099, China;
2. School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
To address the poor fusion quality and low computational efficiency of multimodal medical image fusion methods. In this paper, an image fusion method based on joint bilateral filtering (JBF) and multi-order local region energy (MLNE) is proposed. The method firstly decomposes the input image into energy and structure layers; then for the fusion of energy and structure layers, a fusion scheme based on MLRE and local area L2 norm taking large values is proposed respectively; finally, the fused energy and structure layers are summed to obtain the fused image. The experimental results of medical image fusion with one groups of different modalities prove that the present method outperforms other comparative methods in terms of fusion performance, computational efficiency, and visual evaluation.
Key words:    joint bilateral filter    multi-order local regional energy    medical image fusion    L2 norm   
收稿日期: 2022-03-15     修回日期:
DOI: 10.1051/jnwpu/20224061414
基金项目: 国家自然科学基金(61135001)、渭南市科技计划(ZDYF-JCYJ-196)与渭南师范学院校级人才项目(2020RC11)资助
通讯作者:     Email:
作者简介: 王峰(1981—),渭南师范学院讲师,主要从事深度学习、图像融合及遥感图像变化检测研究。 e-mail:wangfeng81113@163.com
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