Comparison between classical and clustering segmentation techniques

Abstract EN

In this paper, we compare the performance of key classical and clustering techniques for image segmentation when they are applied on medical and non medical data.

These methods are applied on two different sets: reference images (RI), for objective evaluation based on estimation of segmentation accuracy and time, and non reference images (NRI), for objective evaluation based on combined judgment of opinions of specialists.

A direct benefit of this study is being able to determine the most suitable segmentation techniques for given application medical images.