An Effective Non-rigid Image Registration Method Based on Active Demons Algorithm

Abstract

In order to solve the problem the homogeneous coefficient of the classic active demons algorithm can not take into account large deformation and small deformation at the same time, this paper presents a non-rigid registration algorithm based on active demons algorithm. The proposed algorithm introduces a new parameter called balance coefficient to the active demons algorithm, which will adjust the driving force combined with homogeneous coefficient. Not only the large deformation and the small deformation can be taken into account at the same time, but also the mutual restraint problem of the convergence speed and the registration accuracy can be eased in a certain extent. In order to further improve the registration accuracy and the convergence speed, and avoid falling into local extreme value, a coarse-to-fine multi-resolution strategy is introduced into the registration process. Experiments on checkboard test images, natural images and medical images demonstrate that the proposed method is faster and more accurate, and the registration accuracy is close to the latest TV-L1 optical flow image registration algorithm, which solves the problems of the active demons algorithm.