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Linear and non-linear image registration methods, using scipy and numpy.

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Image Registration (imreg)

The "imreg" package implements fast image registration methods using Python, Cython and numerical tools (scipy, numpy).

This package uses semantic versioning <https://semver.org/>.

References:

S. Baker and I. Matthews. Equivalence and efficiency of image alignment algorithms. 
In Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition, 
Volume 1, Pages 1090 – 1097, December 2001.

A very comprehensive 3 part series with Matlab implementations):

https://www.ri.cmu.edu/research_project_detail.html?project_id=515&menu_id=261

Maintainers

  • Nathan Faggian
  • Riaan Van Den Dool
  • Stefan Van Der Walt

Testing

Build Status

Dependencies

The required dependencies to build the software are:

  • python
  • numpy
  • scipy
  • cython
  • py.test

Install

This packages uses distutils, which is the default way of installing python modules. To install in your home directory, use:

python setup.py install --home

To install for all users on Unix/Linux:

python setup.py build
sudo python setup.py install

Development

Follow: Fork + Pull Model::

https://help.github.com/send-pull-requests/

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Linear and non-linear image registration methods, using scipy and numpy.

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  • Jupyter Notebook 96.7%
  • Python 3.3%