A deformable grid approach for Bayesian image registration
Michele Ceccarelli, Michele Donatiello · International Conference on Signal Processing · 2008
The paper presents a novel non parametric image registration method based on an explicit representation of the warping function. The image registration problem is approached in the Bayesian framework with a prior term given by a Gaussian random field accounting the regularity of a deformable grid. The algorithm is completely unsupervised, making it suitable for high throughput biomedical applications such as proteomics and cellular imaging.