XRIPL

XRIPL (C22023): X-Ray Radiographic Image Processing Library

Pawel M. Kozlowski 2018-10-19

XRIPL (read as "zripple") is a library of tools for processing x-ray radiographs and extracting contours of interest within the image using computer vision techniques. Features include spatial calibration, denoising, background and attenuation correction through pseudo-flatfielding, watershed segmentation, contour processing, and visualization. The details of the XRIPL analysis pipeline are published in the Proceedings of the 23rd Topical Conference on High-Temperature Plasma Diagnostics Proceedings [1].

[1] P. M. Kozlowski, Y. Kim, B. M. Haines, H. F. Robey, T. J. Murphy, H. M. Johns, and T. S. Perry. Use of Computer Vision for analysis of image data sets from high temperature plasma experiments. Review of Scientific Instruments 92, 033532 (2021) https://doi.org/10.1063/5.0040285

Installation

Official releases of XRIPL are published to pypi.org and can simply be pip installed like so:

pip install xripl

More detailed installation instructions can be found here.

License

XRIPL is released under a 3-clause BSD license.

Citing XRIPL

If you use XRIPL in your work, please follow the best practices for citing XRIPL which can be found here.

Acknowledgements

Development of Fiducia was supported by the U.S. Department of Energy, and the NNSA.