Topography Image Segmentation Based on Improved Chan-Vese Model
Zhao Zhao, Min-rong, Zhang, Xiwen, Jiang, Juan-na · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2013
Aiming to solve the inefficient segmentation in traditional C-V model for complex topography image and time-consuming process caused by the level set function solving with partial differential, an improved Chan-Vese model is presented in this paper. With the good performances of maintaining topological properties of the traditional level set method and avoiding the numerical solution of partial differential, the same segmentation results could be easily obtained. Thus, a stable foundation for rapid segmentation-based on image reconstruction identification is established.