Metadata-Version: 2.1
Name: xripl
Version: 0.2.0
Summary: X-Ray Radiographic Image Processing Library
Home-page: https://github.com/lanl/xripl
Author: Pawel Marek Kozlowski
Author-email: pkozlowski@lanl.gov
License: BSD
Description: # XRIPL
        
        [![Documentation Status](https://readthedocs.org/projects/xripl/badge/?version=latest)](https://xripl.readthedocs.io/en/latest/?badge=latest)
        [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://xripl.readthedocs.io/en/latest/license.html)
        [![GitHub Actions — CI](https://github.com/lanl/xripl/workflows/CI/badge.svg)](https://github.com/lanl/xripl/actions?query=workflow%3ACI+branch%3Amain)
        [![codecov](https://codecov.io/gh/lanl/xripl/branch/main/graph/badge.svg)](https://codecov.io/gh/lanl/xripl)
        [![GitHub Actions — Style linters](https://github.com/lanl/xripl/workflows/Style%20linters/badge.svg)](https://github.com/lanl/xripl/actions?query=workflow%3AStyle-linters+branch%3Amain)
        
        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](https://pypi.org/project/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](https://xripl.readthedocs.io/en/latest/install.html).
        
        
        ## License
        XRIPL is released under a [3-clause BSD license](https://xripl.readthedocs.io/en/latest/license.html).
        
        ## Citing XRIPL
        If you use XRIPL in your work, please follow the best practices for citing
        XRIPL which can be found [here](https://xripl.readthedocs.io/en/latest/citing.html).
        
        ## Acknowledgements
        Development of Fiducia was supported by the U.S. Department of Energy, and
        the NNSA.
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Natural Language :: English
Description-Content-Type: text/markdown
