Image segmentation using gradient vector diffusion and region merging

Abstract

The Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. However traditional snake models prove to be limited in several aspects. The present paper describes a set of diffusion equations applied to image gradient vectors, yielding a vector field over the image domain. The obtained vector field provides the Snake Model with an external force as well as an automatic way to generate the initial contours. Finally a region merging technique is employed to further improve the segmentation results.