Watershed segmentation of an image enhanced by Teager energy driven diffusion
David De Vleesschauwer · 1997
In this paper we use the Teager energy driven non-linear diffusion process to reduce the influence of noise in the watershed segmentation of an image. We show that the performance of this non-linear diffusion process is better than the performance of the traditional gradient driven non-linear diffusion process.