Filter estimation maximization algorithm for image segmentation
Hocine Cherifi, Richard Grisel · 2002
In this paper we present an EM based algorithm tailored to image segmentation. This algorithm, which incorporates a filtering step increases the convergence rate and improves the classification process. It is called filter EM (FEM). After a brief theoretical introduction of the algorithm we show applications and improvements on synthetic and real data for the two aspects which are the undersampling of the probability density function and the filtering effect on the probability images obtained.>