In this paper, we propose to combine the min/max curvature to the surface diffusion model. The resulting technique is an automatic, extremely robust, computationally efficient, and a straightforward scheme. The flow under min/max curvature was presented by R. Malladi and J. A. Sethian in a differential equation in terms of the image intensity. If it is combined to the surface diffusion model then the new scheme automatically picks the termination criteria; continued application of the scheme produces no further change. In other words it has a convergence state. It has another important advantage over the MCD (mean curvature diffusion) and other diffusion models; removing notch noises on the side of a structure does not diffuse the shape of the structure.
|Number of pages||4|
|Publication status||Published - 1997|
|Event||Proceedings of the 1997 IEEE International Symposium on Consumer Electronics, ISCE'97 - Singapore, Singapore|
Duration: 1997 Dec 2 → 1997 Dec 4
|Other||Proceedings of the 1997 IEEE International Symposium on Consumer Electronics, ISCE'97|
|Period||97/12/2 → 97/12/4|
All Science Journal Classification (ASJC) codes