Hybrid Approach for Multiparametric Mean Shift Filtering

In ultrasound imaging, robustness of the diagnosis can be improved by using many images of parameters. In this paper we propose a hybrid approach for improving multi-parametric mean shift filtering (MPMS). Multi-parametric filtering is really attractive since it works conjointly in the spatial-range domain, taking into account the spatial location of the data as well as the range values of many parameters. Hybrid MPMS is an. iterative method that combines two mean shift procedures called nonblurring and blurring. Our method was positively tested on a set of simulated ultrasound data. The results show the superiority of hybrid MPMS compared to the simple MPMS filtering.