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.
|Titolo:||A deformable grid approach for Bayesian image registration|
|Data di pubblicazione:||2008|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|