Shape prior for active contours based on the analitycal Fourier Mellin transform
In this paper, we propose new method to incorporate geometric shape prior into region-based active contours in order to improve its robustness to noise and occlusions. The proposed shape prior is defined after the registration of the level set functions associated with the active contour and a reference shape. The used registration method is based on phase correlation by the Analytical Fourier-Mellin Transform (AFMT). This representation, dedicated to gray levels images, makes it possible to manage several objects simultaneously. Experimental results show the ability of the proposed geometric shape prior to constrain an evolving curve towards a target shape. We highlight on synthetic and real images, the benefit of the new shape prior on segmentation results, in presence of occlusions and noise.
shape prior active contours analytical fourier-mellin transform