A novel image registration algorithm based on octa-log-polar Fourier transform (OLPFT) for estimating large translations, rotations, and scalings in images is presented. The OLPFT, which is calculated at points distributed at non-linear increased concentric octagons, approximated log-polar Fourier representations of images accurately. And it can be calculated fast by utilizing the Fourier separability property and fractional FFT. Using the log-polar Fourier representations and cross-power spectrum method, we can estimate the rotations and scalings in images, and obtain translations later.
No takes yet. Share an insight, caveat, or question.
Wu et al. (2009) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: