Zero-Learning-Fast-Medical-Image-Fusion
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bsun0802
An OpenCV and Pytorch implementation of Zero-Learning-Fast-Medical-Image-Fusion
Fast and Efficient Zero-Learning Image Fusion
This repository provides an opencv and pytorch implementation of the paper "Fast and Efficient Zero-Learning Image Fusion".
Usage
pip install -r requirements.txt
cd code/
# --imageSource specify a sequence of source images to be fused
python main.py --imagePath=../images/IV_images --imageSource "VIS*.png" "IR*.png"
python main.py --imagePath=../images/MRI-PET --imageSource "MRI*.png" "PET*.png"
In the above example, VIS01.png will be fused with IR01.png, VIS02.png will be fused with IR02.png, etc.
Fusion of 1 RGB with multiple IR images are supported, just add the glob pattern of images in --imageSource.
Results
Visible and infrared Image fusion
Grayscale and RGB image fusion
License
This project is licensed under the MIT License.
MIT © bsun
bsun0802