Metadata-Version: 2.0
Name: radontea
Version: 0.2.1
Summary: Collection of algorithms to compute the inverse Radon transform
Home-page: https://github.com/RI-imaging/radontea
Author: Paul Müller
Author-email: dev@craban.de
License: BSD (3 clause)
Description-Content-Type: UNKNOWN
Keywords: tomography,ct,radon,computerized tomography,optical projection tomography
Platform: ALL
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Intended Audience :: Science/Research
Requires-Dist: NumPy (>=1.5.1)
Requires-Dist: SciPy (>=0.8.0)

radontea
========

|PyPI Version| |Tests Status| |Coverage Status| |Docs Status|

Algorithms to compute the inverse Radon trannsform (e.g. SART, backprojection, Fourier interpolation).


Documentation
-------------
The documentation, including the reference and examples, is available on `readthedocs.io <https://radontea.readthedocs.io/en/stable/>`__.


Installation
------------
The package can be installed from the Python package index.

::

    pip install radontea


Usage
-----
For a general idea of use cases, execute radontea as a package
(matplotlib needs to be installed):

::

    python -m radontea


Testing
-------
Some functionalities of the module are tested with

::

    python setup.py test



.. |PyPI Version| image:: http://img.shields.io/pypi/v/radontea.svg
   :target: https://pypi.python.org/pypi/radontea
.. |Tests Status| image:: http://img.shields.io/travis/RI-imaging/radontea.svg?label=tests
   :target: https://travis-ci.org/RI-imaging/radontea
.. |Coverage Status| image:: https://img.shields.io/coveralls/RI-imaging/radontea.svg
   :target: https://coveralls.io/r/RI-imaging/radontea
.. |Docs Status| image:: https://readthedocs.org/projects/radontea/badge/?version=latest
   :target: https://readthedocs.org/projects/radontea/builds/


