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SubpixelRegistration.jl

Build Status PkgEval Coverage License

Stable Dev

Image registration with subpixel precision using an upsampled discrete Fourier transform cross-correlation. This uses an efficient matrix-multiplication algorithm for upsampling the cross-correlation following Guizar-Sicairos, Thurman, and Fienup (2008).1

Installation

julia>] add SubpixelRegistration

Usage

First, import the package

julia> using SubpixelRegistration

now, let's load two images we wish to register

julia> source, target = # ...

we can use phase_offset directly to perform the DFT-upsampling cross-correlation analysis

julia> phase_offset(source, target; upsample_factor=1)
(shift = (-22.0, 13.0), error = 0.9999999999214572, phasediff = 0.0)

julia> phase_offset(source, target; upsample_factor=4)
(shift = (-22.5, 13.25), error = -11.584699520819848, phasediff = 0.0)

the register and coregister methods directly manipulate images (or stacks of images) using this phase offset method

julia> register(source, target; upsample_factor=100);

julia> coregister(cube; dims=3, refidx=1, upsample_factor=100);

Contributing and Support

If you would like to contribute, feel free to open a pull request. If you want to discuss something before contributing, head over to discussions and join or open a new topic. If you're having problems with something, please open an issue.

Footnotes

  1. Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, "Efficient subpixel image registration algorithms," Opt. Lett. 33, 156-158 (2008) ↩