Image Registration Guided by Particle Filter

Image Registration is a central task to different applications, such as medical image analysis; stereo computer vision; and optical flow estimation. One way to solve this problem consists in using Bayesian Estimation theory. Under this approach; this work introduces a new alternative, based On Particle Filters; which have been previously used to estimate the states of dynamic systems. For this work; we have adapted the Particle Filter to carry Out the registration of unimodal and multimodal images; and performed a series of preliminary tests; where the proposed method has proved to be efficient, robust; and easy to implement.