CUBOX AI Lab

9-view X-Ray Fanbeam Calibration provides tools for precise calibration of X-ray imaging systems. These tools enable researchers to detect objects, align calibration setups, and visualize 3D data. Below are the key functionalities and their usage instructions.

• Bead Detection: Automatic bead localization in X-ray images.
• Calibration: Multi-view geometric calibration.
• 3D Visualization: Open3D-based interactive viewer.
• Box Fitting: Bounding box fitting for 3D structures.
• Triangulation: Multi-view triangulation of detected objects.
• RANSAC Visual Hull: Robust model fitting for 3D structures.

python find_beads.py

python calibration.py

python viewer_o3d.py

python fit_bbox.py

python triangulation.py

python ransac_visualhull.py

1. Create and activate a virtual environment:

   conda create -n xray_calib python=3.10
   conda activate xray_calib

2. Install dependencies:

   pip install -r requirements.txt

If you use this project in your research, please consider citing:

@misc{fanbeamcalibration2024,
  author = {CUBOX AI Lab},
  title = {9-view X-ray Fanbeam Calibration},
  year = {2024},
  url = {https://github.com/yc4ny/Fanbeam-Calibration}
}

For questions, reach out to:

• Technical Inquiries: [email protected]
• Licensing: [email protected]