Summary
International Symposium on Nonlinear Theory and its Applications
2008
Session Number:C4L-E
Session:
Number:C4L-E1
Spatial-Temporal Level Set Algorithms on CNN-UM
Gabor J. Tornai, Gyorgy Cserey, Adam Rak,
pp.-
Publication Date:2008/9/7
Online ISSN:2188-5079
Summary:
In this paper we propose to describe 2D and 3D spatial-temporal algorithms based on level sets using the advantages of the local connectivities in the cellular neural-nonlinear network (CNN). The primary goal of this paper is to contribute a development and parallel implementation of fast global level-set algorithms using the idea of a local interaction based level-set algorithms. Our CNN algorithms can handle more initial curves which can fuse or keep distance according to the requirements. This could be a very good base to achieve fast image segmentation and object detection. Finally 2D and 3D simulation results are presented.