Skip to main content

FFT based image registration

Project description

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

Author:

Christoph Gohlke

Organization:

Laboratory for Fluorescence Dynamics, University of California, Irvine

License:

BSD 3-Clause

Version:

2020.1.1

Requirements

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imreg-2020.1.1.tar.gz (5.5 kB view hashes)

Uploaded Source

Built Distribution

imreg-2020.1.1-py3-none-any.whl (6.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page