FFT based image registration

Imreg is a Python library that implements an FFT-based technique for translation, rotation and scale-invariant image registration [1].

Author

Christoph Gohlke

License

BSD 3-Clause

Version

2022.9.27

Requirements

• CPython >= 3.7
• Numpy 1.15
• Scipy 1.5
• Matplotlib 3.3 (optional for plotting)

Revisions

2022.9.27

• Fix scipy.ndimage DeprecationWarning.

Notes

Imreg is no longer being actively developed.

This implementation is mainly for educational purposes.

An improved version is being developed at https://github.com/matejak/imreg_dft.

References

1. An FFT-based technique for translation, rotation and scale-invariant image registration. BS Reddy, BN Chatterji. IEEE Transactions on Image Processing, 5, 1266-1271, 1996
2. An IDL/ENVI implementation of the FFT-based algorithm for automatic image registration. H Xiea, N Hicksa, GR Kellera, H Huangb, V Kreinovich. Computers & Geosciences, 29, 1045-1055, 2003.
3. Image Registration Using Adaptive Polar Transform. R Matungka, YF Zheng, RL Ewing. IEEE Transactions on Image Processing, 18(10), 2009.

Examples

>>> im0 = imread('t400') >>> im1 = imread('Tr19s1.3') >>> im2, scale, angle, (t0, t1) = similarity(im0, im1) >>> imshow(im0, im1, im2)

>>> im0 = imread('t350380ori') >>> im1 = imread('t350380shf') >>> t0, t1 = translation(im0, im1) >>> t0, t1 (20, 50)