This paper presents a novel model for 3D image
segmentation and reconstruction. It has been designed with
the aim to be implemented over a computer cluster or a
multi-core platform. The required features include a nearly
absolute independence between the processes participating
in the segmentation task and providing amount of work as
equal as possible for all the participants. As a result, it is
avoid many drawbacks often encountered when performing
a parallelization of an algorithm that was constructed to
operate in a sequential manner. Furthermore, the proposed
algorithm based on the new segmentation model is efficient
and shows a very good, nearly linear performance growth
along with the growing number of processing units. 1