Medical-Image-Fusion-master
所属分类：matlab编程
开发工具：matlab
文件大小：1788KB
下载次数：3
上传日期：2020-10-10 12:34:33
上 传 者：
here.senthil
说明： Hybrid image fusion for high resilution
文件列表:
Schematic_Diagram (0, 2020-03-14)
Schematic_Diagram\Fig1.png (480579, 2020-03-14)
Schematic_Diagram\Fig2.png (745860, 2020-03-14)
Schematic_Diagram\Fig3.png (571425, 2020-03-14)
source_code (0, 2020-03-14)
source_code\Aeight.p (107, 2020-03-14)
source_code\Afive.p (343, 2020-03-14)
source_code\Afour.p (309, 2020-03-14)
source_code\Anine.p (326, 2020-03-14)
source_code\Aseven.p (306, 2020-03-14)
source_code\Asix.p (2081, 2020-03-14)
source_code\Athree.p (267, 2020-03-14)
source_code\Atwo.p (692, 2020-03-14)
source_code\Bone.p (1715, 2020-03-14)
source_code\Btwo.p (1719, 2020-03-14)
source_code\LRD_fusion.p (301, 2020-03-14)
source_code\LRD_fusion_method.m (512, 2020-03-14)
source_code\Results (0, 2020-03-14)
source_code\Results\Result.jpg (10580, 2020-03-14)
source_code\child_window.p (197, 2020-03-14)
source_code\es2.p (202, 2020-03-14)
source_code\test_image_pair (0, 2020-03-14)
source_code\test_image_pair\medical-15-A.jpg (16242, 2020-03-14)
source_code\test_image_pair\medical-15-B.jpg (11633, 2020-03-14)
source_code\test_image_pair\medical-36-A.jpg (19338, 2020-03-14)
source_code\test_image_pair\medical-36-B.jpg (14098, 2020-03-14)
source_code\upsample.p (374, 2020-03-14)
# Laplacian Re Decomposition for Multimodal Medical Image Fusion
This repository contains testing code for the proposed Laplacian-Re-Decomposition (LRD) presented at IEEE TIM 2020.
## Prerequisites
#### Matlab
We use Matlab 2019b for our implementation.
## Usage
Our current release has been tested on Win 10.
#### Step 1: Downloading
Select the **'Clone or Download'** button in the upper right corner to download this repository.
#### Step 2: Running
Run the **LRD_fusion_method.m** script in the **source_code** folder, the fusion result is in the **Results** folder.
## Reference
@article{li2020laplacian,
title={Laplacian Re-Decomposition for Multimodal Medical Image Fusion},
author={Li, Xiaoxiao and Guo, Xiaopeng and Han, Pengfei and Wang, Xiang and Li, Huaguang and Luo, Tao},
journal={IEEE Transactions on Instrumentation and Measurement},
year={2020},
publisher={IEEE}
}
For any questions, please contact Xiaoxiao Li (lxxwxy@outlook.com).
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