In this paper

we propose a new color image segmentation approach based on the combined use of Voronoi tessellation and the (EM/MPM) algorithm. Voronoi tessellation is a well-established tool for the partition of a geometric region in stochastic geometry theory. Therefore

it is employed for partitioning the image domain into Voronoi polygons corresponding to the components of homogeneous regions that need to be segmented. The EM/MPM algorithm

which integrates the EM algorithm for parameter estimation with the MPM algorithm for segmentation

is also proposed to address color image segmentation. Quantitative experimental results on a synthetic color image show the performance of the proposed approach. Experiments have also been carried out on real world color images in order to validate the proposed approach.