Image registration using discrete Fourier transform.

Given two images, imreg_dft can calculate difference between scale, rotation and position of imaged features. Given you have the requirements, you can start aligning images in about five minutes! Check the documentation on readthedocs.org (bleeding-edge) or pythonhosted.org (with images).

• Image pre-processing options (frequency filtration, image extension).
• Under-the-hood options exposed (iterations, phase correlation filtration).
• Command-line interface (text output and/or image output).
• Documented Python API with examples.
• Permissive open-source license (3-clause BSD).

• The project is written in pure Python.
• Essentially requires only numpy and scipy (RHEL7-safe).
• Includes quickstart documentation and example data files.
• Per-commit tests and documentation (see badges under the heading).
• Originally developed by Christoph Gohlke (University of California, Irvine, USA)
• Currently developed by Matěj Týč (Brno University of Technology, CZ)