Feature Mutual Information (FMI) metric for non-reference image fusion

FMI is a non-reference image fusion metric based on mutual information of image features.
3.0K 次下载
更新时间 2016/10/5

FMI calculates the Feature Mutual Information (FMI), the non-reference performance metric for fusion algorithms, proposed in:

M.B.A. Haghighat, A. Aghagolzadeh, H. Seyedarabi, "A Non-Reference Image Fusion Metric Based on Mutual Information of Image Features," Computers and Electrical Engineering, vol. 37, no. 5, pp. 744-756, Sept. 2011.
http://dx.doi.org/10.1016/j.compeleceng.2011.07.012


This code is the implementation of FAST-FMI, presented in:

M. Haghighat, M.A. Razian, “Fast-FMI: non-reference image fusion metric,” 8th International Conference on Application of Information and Communication Technologies (AICT), pp. 1-3, 2014.
http://dx.doi.org/10.1109/ICAICT.2014.7036000

引用格式

Mohammad Haghighat (2024). Feature Mutual Information (FMI) metric for non-reference image fusion (https://github.com/mhaghighat/fmi), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2015a
兼容任何版本
平台兼容性
Windows macOS Linux
类别
Help CenterMATLAB Answers 中查找有关 Image Analysis 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
1.71.0.0

Linked to Github

1.7.0.0

MATLAB Toolbox File Format

1.6.0.0

MATLAB Toolbox File Format

1.5.0.0

Added the Fast-FMI implementation

1.4.0.0

Added the Fast-FMI implementation

1.3.0.0

Added Copyright owner

1.2.0.0

Added description

1.1.0.0

Added reference

1.0.0.0

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库